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<div style=""><b style="font-weight: 700">Responsibilities:</b></div><div style=""><br></div><ul>  <li style="">Design and implement scalable Elasticsearch clusters to meet &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;business requirements.</li>  <li style="">Define and maintain index templates, mappings, and settings to &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;optimize search and analytics use cases.</li>  <li style="">Develop advanced queries and aggregations for search and reporting &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;needs.</li>  <li style="">Implement and manage data lifecycle policies (ILM) for efficient &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;storage and retrieval.</li>  <li style="">Optimize Elasticsearch performance through sharding, replication, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and query tuning.</li>  <li style="">Design solutions for real-time and batch data ingestion using tools &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;like Logstash, Nifi, beats or custom integrations.</li>  <li style="">Ensure Elasticsearch security via role-based access control (RBAC), &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;TLS, and audit trails.</li>  <li style="">Monitor cluster health and address issues related to performance, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;scaling, and fault tolerance.</li>  <li style="">Design and optimize database schemas for OLTP, OLAP, and hybrid &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;workloads.</li>  <li style="">Implement database replication, partitioning, and sharding &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;strategies for scalability and fault tolerance.</li>  <li style="">Perform query optimization, indexing strategies, and execution plan &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;analysis.</li>  <li style="">Develop and maintain stored procedures, triggers, and custom &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;functions.</li>  <li style="">Configure PostgreSQL for high availability using various tools.</li>  <li style="">Ensure database security, including encryption, user roles, and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;permissions.</li>  <li style="">Implement and maintain backup and recovery strategies using &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;pg_dump, logical replication, or physical backups.</li>  <li style="">Troubleshoot and resolve database performance and integrity issues.</li>  <li style="">Design ETL pipelines for data ingestion and transformation &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;workflows.</li></ul>

Remote

Architect (Elastic Search + Postgres)

<div style=""><b style="font-weight: 700">Job Summary:</b><br>A result-oriented FinnOne Implementation - IT Engineer is required to independently handle day-to-day support activities using industry best practices for a leading NBFC.</div><div style=""><b style="font-weight: 700">Job Description:</b></div><ul>  <li style="">2 to 3 years of hands-on experience in FinnOne CAS and LMS applications.</li>  <li style="">Experience in working with different lines of business in retail lending.</li>  <li style="">Experience in resolving user issues.</li>  <li style="">Experience in dealing with various stakeholders, including users and vendors.</li>  <li style="">Experience with any incident management tool.</li>  <li style="">Experience in L1 analysis of incidents.</li>  <li style="">Basic knowledge of SQL queries.</li>  <li style="">Basic understanding of APIs.</li>  <li style="">Strong communication skills.</li></ul><div style=""><b style="font-weight: 700">Responsibilities:</b></div><ul>  <li style="">Handle day-to-day support activities.</li>  <li style="">Perform L1 analysis of incidents and escalate to vendors by raising tickets.</li></ul><div style=""><b style="font-weight: 700">Location:</b> Pune (PFL Office)</div>

Pune Office

FinnOne Implementation - IT

<div style="">Strong experience in Postgres, SQL, PLSQL, PowerBI or OBIP. Manage advanced reporting requirements arising from various businesses and functions of the Bank. Will work closely with the reporting team to ensure that reporting expectations are met with the highest standards of performance and reliability alongside ensuring timely delivery.</div><ol>  <li style="">Engage with internal stakeholders to understand the business areas that require analytical and reporting support. Represent the BI &amp; Analytics function at various meetings.</li>  <li style="">Strong knowledge of SQL, including the ability to write complex queries, stored procedures, and triggers.</li>  <li style="">Strong problem-solving skills and ability to understand complex database models.</li>  <li style="">Develop and maintain scripts requiring data for reporting. Extract data as per business needs.</li>  <li style="">Collaborate with development and business teams to understand their data needs and tailor solutions accordingly.</li>  <li style="">SQL/PLSQL/Postgres SQL/Power BI/OBIP (Oracle Business Intelligence Publisher)/Advance SQL or similar statistical and BI tool expertise is mandatory.</li>  <li style="">Extensive experience in Power BI or Oracle BI Publisher and OTBI reports development with a strong portfolio of interactive reports and dashboards.</li>  <li style="">Solid understanding of data modeling concepts and experience in designing efficient data models.</li>  <li style="">Experience with Power Automate for workflow automation.</li>  <li style="">Ability to use advanced Excel capabilities, including pivot tables, lookups, complex formulas, and graphing.</li>  <li style="">Experience in Analytics/ Reporting in BFSI Space (prefer exposure to payment banking, CASA, etc.)</li>  <li style="">The requirement from candidate is to work 60% on SQL related tasks and 40% on BI reporting related tasks using Power BI or OBIP.</li>  <li style="">4-6 years of experience with exposure to banking CASA, Payment Systems.</li>  <li style="">Excellent analytical skills with a keen eye for detail.</li>  <li style="">Effective communication skills.</li>  <li style="">Ability to work independently as well as collaboratively within a team environment.</li></ol>

Hoonartek Mumbai

Senior Reporting Analyst

<div style="">• <b style="font-weight: 700">API Development &amp; Maintenance</b></div><div style="">o Design, build, and maintain RESTful APIs using Python for ML applications.</div><div style="">o Implement best practices for endpoint creation, versioning, pagination, and error handling.</div><div style="">• <b style="font-weight: 700">Deployment &amp; Release</b></div><div style="">o Containerize applications using Docker to ensure consistent deployments across environments.</div><div style="">o Work with AWS or Azure services to deploy, manage, and scale cloud-based solutions.</div><div style="">• <b style="font-weight: 700">Performance &amp; Scalability</b></div><div style="">o Monitor API performance metrics (throughput, latency) and optimize for better user experiences.</div><div style="">o Implement load balancing, caching, and other strategies to handle high-traffic scenarios.</div><div style="">• <b style="font-weight: 700">Collaboration &amp; Teamwork</b></div><div style="">o Work with data scientists to integrate ML models into production-grade applications.</div><div style="">o Partner with cross-functional teams to ensure seamless end-to-end system delivery.</div><div style="">• <b style="font-weight: 700">Documentation &amp; Testing</b></div><div style="">o Write clear, concise technical documentation and maintain code repositories.</div><div style="">o Develop and run unit tests, integration tests, and performance tests for robust releases.</div>

Python ML Engineer 

<div style=""><b style="font-weight: 700">Job Title: Practice Head - Data Analytics &amp; Artificial Intelligence</b></div><div style=""><b style="font-weight: 700">Job Location – Base Location Mumbai or Pune</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Job Summary: -</b><br>We are seeking a market oriented leader to head our Data Analytics practice. The Practice Head - Data Analytics &amp; Artificial Intelligence will be responsible for overseeing the development and execution of the organization’s analytics, data science strategies, driving growth, and leading a high-performing team to deliver innovative solutions that provide actionable insights to clients. This role will also involve defining the practice’s vision, managing teams, driving business development, and ensuring high-quality data analysis, all while staying current with industry trends and best practices in data analytics technology. The ideal candidate will blend technical expertise, business acumen, and leadership skills to guide our analytics practice toward success in a competitive market. The role directly reports into the Chief Technology Officer.</div><div style=""><b style="font-weight: 700">Key Responsibilities: -</b></div><div style=""><b style="font-weight: 700">Leadership &amp; Strategy:</b></div><ul>  <li style="">Define and execute the overall Data Analytics vision and strategy in alignment with organizational goals.</li>  <li style="">Identify opportunities to leverage data to solve critical business problems and create value.</li>  <li style="">Stay updated on industry trends, emerging technologies, and best practices in analytics.</li>  <li style="">BFSI Analytics roadmap and use case background will be a plus</li></ul><div style=""><b style="font-weight: 700">Delivery Management:</b></div><ul>  <li style="">Oversee the end-to-end delivery of data analytics projects, ensuring high quality and timely execution.</li>  <li style="">Monitor project performance against key metrics and identify areas for improvement.</li>  <li style="">Develop and implement processes, standards, and governance for project management and delivery.</li>  <li style="">Manage budgets, timelines, and resources effectively to meet delivery commitments.</li>  <li style="">Collaborate with cross-functional teams (IT, business, data science, etc.) to ensure seamless project execution.</li>  <li style="">Understand client business needs and challenges to design customized data analytics solutions.</li>  <li style="">Act as a trusted advisor to clients, presenting data insights and recommendations to inform decision-making.</li></ul><div style=""><b style="font-weight: 700">Innovation &amp; Market Awareness:</b></div><ul>  <li style="">Stay abreast of industry trends, emerging technologies, and new methodologies in the analytics space.</li>  <li style="">Share and build market awareness in the broader organisation</li>  <li style="">Explore and implement innovative analytics tools and platforms to stay ahead of competitors and meet evolving client demands.</li>  <li style="">Position Hoonartek as a thought leader in the analytics industry through publications, speaking engagements, and networking.</li></ul><div style=""><b style="font-weight: 700">Business Development &amp; Growth:</b></div><ul>  <li style="">Collaborate with sales, marketing, and senior leadership teams to identify new business opportunities and expand the Analytics practice.</li>  <li style="">Lead the sales process for data analytics services and develop compelling proposals and presentations to showcase their value.</li>  <li style="">Develop and implement go-to-market strategies to scale the practice and increase revenue.</li>  <li style="">Lead proposal and RFP responses, showcasing the capabilities of the analytics practice.</li></ul><div style=""><b style="font-weight: 700">Technical Expertise:</b></div><ul>  <li style="">Provide guidance on data strategy, architecture, and infrastructure to ensure scalability and efficiency.</li>  <li style="">Establish data governance standards and best practices across the practice.</li>  <li style="">Oversee the design and implementation of dashboards, reports, and analytics solutions.</li>  <li style="">Ensure adherence to data governance, security, and compliance standards.</li>  <li style="">Expertise in data warehousing, data lakes, data pipelines, and data visualization tools.</li></ul><div style=""><b style="font-weight: 700">Team Leadership &amp; Development:</b></div><ul>  <li style="">Lead and mentor a team of data analysts, data scientists, data engineers, and other data professionals.</li>  <li style="">Foster a collaborative team culture focused on innovation and continuous improvement.</li>  <li style="">Recruit and develop talent with the necessary technical and analytical skills.</li>  <li style="">Proven experience leading and managing high-performing data analytics teams.</li></ul>

Practice Head - Data Analytics & Artificial Intelligence

<div style=""><b style="font-weight: 700">Job Title: Senior Architect - Artificial Intelligence</b></div><div style=""><b style="font-weight: 700">Job Location – Base Location Mumbai or Pune</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Job Summary-</b></div><div style="">This is a strategic leadership role responsible for designing, implementing, and overseeing advanced artificial intelligence (AI) solutions and processes. The Senior AI Architect collaborates closely with customers to ensure AI solutions align with business objectives, are scalable, and meet industry standards. This role plays a crucial part in driving innovation through AI, ensuring the sustainable and efficient implementation of cutting-edge technologies to deliver impactful solutions for our customers. The role directly reports into the head of Practice for Data Analytics.</div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Design and develop AI applications across various domains, leveraging expertise in Generative AI, deep learning, NLP, and computer vision.</li>  <li style="">Partner with business stakeholders to translate business objectives into actionable AI and Generative AI initiatives.</li>  <li style="">Collaborate with data scientists, engineers, and domain experts to ensure the effective execution of AI projects.</li>  <li style="">Evaluate emerging AI technologies and tools, assessing their suitability for organizational needs.</li>  <li style="">Architect and deploy end-to-end AI solutions that seamlessly integrate with existing IT infrastructures.</li>  <li style="">Lead cross-disciplinary teams to deliver AI-driven solutions that meet strategic goals.</li>  <li style="">Mentor other&nbsp; team members, promoting best practices for AI development and deployment.</li>  <li style="">Develop high-level designs for data pipelines, model training, deployment strategies, and system integration.</li>  <li style="">Lead the selection and optimization of machine learning models, algorithms, and frameworks (e.g., TensorFlow, PyTorch).</li>  <li style="">Establish monitoring frameworks for deployed AI systems, identifying bottlenecks and implementing improvements to ensure accuracy and reliability.</li></ul>

Senior Architect - Artificial Intelligence

<div style="">An ETL Support Lead is responsible for overseeing the day-to-day operations and maintenance of an organization's Extract, Transform, and Load (ETL) processes, ensuring data is accurately extracted from various sources, transformed as needed, and loaded into data warehouses or target systems, while also leading a team of ETL support specialists to troubleshoot issues, monitor performance, and implement improvements to maintain data integrity and system stability in a production environment; requiring strong technical expertise in ETL tools, database management, and problem-solving skills to address data quality concerns and system malfunctions.</div><div style="">Key Responsibilities:</div><div style="">• Production Support: Monitor ETL jobs in production, identify and resolve data loading errors, performance bottlenecks, and system failures in a timely manner.</div><div style="">• Incident Management: Lead the team in investigating and resolving complex production issues, escalating critical incidents to relevant stakeholders as needed.</div><div style="">• Data Quality Assurance: Conduct data quality checks to ensure data accuracy and consistency throughout the ETL process, identifying and addressing data discrepancies.</div><div style="">• Technical Expertise: Maintain in-depth knowledge of ETL tools e.g., Abinitio Control Center, Unix &nbsp;and Database technologies like Oracle to optimize data transformations and loading processes.</div><div style="">• Team Leadership: Manage a team of ETL support specialists, assigning tasks, providing technical guidance, and coaching team members on best practices.</div><div style="">• Change Management: Review and implement updates to ETL processes, take handover from dev team and update JIRA checklist</div><div style="">• Performance Optimization: Analyze ETL job performance metrics to identify areas for improvement and implement optimization strategies to enhance data processing speed and efficiency.</div><div style="">• Documentation: Maintain detailed documentation of ETL processes, including technical specifications, data mappings, error handling procedures, and system architecture.</div><div style="">• Stakeholder Communication: Collaborate with business users, IT infra teams and development teams to understand data requirements, address data quality concerns, and communicate ETL status updates.</div>

Airtel

Support Lead

<div style="">Key Responsibilities:</div><div style="">• Production Support: Monitor ETL jobs in production, identify and resolve data loading errors, performance bottlenecks, and system failures in a timely manner.</div><div style="">• Incident Management: Lead the team in investigating and resolving complex production issues, escalating critical incidents to relevant stakeholders as needed.</div><div style="">• Data Quality Assurance: Conduct data quality checks to ensure data accuracy and consistency throughout the ETL process, identifying and addressing data discrepancies.</div><div style="">• Technical Expertise: Maintain in-depth knowledge of ETL tools e.g., Abinitio Control Center, Unix &nbsp;and Database technologies like Oracle to optimize data transformations and loading processes.</div><div style="">• Team Leadership: Manage a team of ETL support specialists, assigning tasks, providing technical guidance, and coaching team members on best practices.</div><div style="">• Change Management: Review and implement updates to ETL processes, take handover from dev team and update JIRA checklist</div><div style="">• Performance Optimization: Analyze ETL job performance metrics to identify areas for improvement and implement optimization strategies to enhance data processing speed and efficiency.</div><div style="">• Documentation: Maintain detailed documentation of ETL processes, including technical specifications, data mappings, error handling procedures, and system architecture.</div><div style="">• Stakeholder Communication: Collaborate with business users, IT infra teams and development teams to understand data requirements, address data quality concerns, and communicate ETL status updates.</div>

<div style="">· Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team.</div><div style="">· Participate in daily project scrum meetings and provide daily personal status report.</div><div style="">· Create user documentation for completed solutions.</div><div style="">· Work with support team to resolve production support issues.</div><div style="">· Mentor the junior developers and help building knowledge base</div><div style="">· Participate in peer reviews.</div><div style="">· Assist with technical documentation.</div><div style="">· Consult with QA staff on strategies for testing specific work items.</div><div style="">· Other duties as deemed necessary by management.</div><div style="">· Contribute to the success of the organization by helping others accomplish job results; learning new skills needed by the team; finding new ways to help the team.</div>

Lead Full Stack Developer (Cloud )

Senior Full Stack Developer

<div style="">We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.</div><div style="">Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.</div><div style="">Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities &amp; risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk &amp; compliance solutions and traditional data warehouses &amp; marts.</div><div style="">At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity</div><div style=""><br></div><div style=""><b style="font-weight: 700">How We Work?</b></div><div style=""><br></div><div style="">Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.</div><div style="">We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.</div>