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Airtel

TPM - Program Manager 

<div style=""><u><b style="font-weight: 700">QA – Big Data</b></u></div><div style=""><b style="font-weight: 700">Technical Skills:</b></div><ul>  <li style="">Proficient in c with hands-on experience.</li>  <li style="">Strong understanding of Hadoop ecosystem and job scheduling tools like Airflow &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and Oozie.</li>  <li style="">Skilled in writing and executing SQL queries for comprehensive data validation.</li>  <li style="">Familiarity with test automation frameworks (e.g., Robot Framework), with automation &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;skills as an asset.</li>  <li style="">Basic programming knowledge in Python is a plus.</li>  <li style="">Experience with S3 buckets and cloud storage workflows is advantageous.</li></ul><div style=""><b style="font-weight: 700">Soft Skills:</b></div><ul>  <li style="">Strong analytical and problem-solving skills with a high attention to detail.</li>  <li style="">Excellent verbal and written communication abilities.</li>  <li style="">Ability to collaborate effectively in a fast-paced Agile/Scrum environment.</li>  <li style="">Adaptable and eager to learn new tools, technologies, and processes.</li></ul><div style=""><b style="font-weight: 700">Experience:</b></div><ul>  <li style="">2-4 years of experience in Big Data testing, focusing on both automated and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;manual testing for data validation and UI testing.</li>  <li style="">Proven experience in testing Spark job performance, security, and integration &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;across diverse systems.</li>  <li style="">Hands-on&nbsp;experience with defect tracking tools such as JIRA or Bugzilla.</li></ul>

Big Data QA

<div style="">L1 Skillset:</div><ul>  <li style="">1-2 Years of &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in running Technical Operations on any ETL tools (preferably &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Spark)</li>  <li style="">Hands-on &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;experience in Linux and mainstream database (Oracle, SQL)</li>  <li style="">Should be able &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;to run basic queries to fetch data</li>  <li style="">Basic knowledge &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;of Hive/Hadoop/HDFS</li>  <li style="">Understanding &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;of at least one scripting language (e.g. shell, Perl).</li>  <li style="">Good knowledge &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;of Spark or Airflow</li>  <li style="">Should be able &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;to monitor, re-run, kill Jobs in Yarn and Airflow</li>  <li style="">Familiar with &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Grafana usage</li>  <li style="">Should have &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;knowledge on LogStash / ElasticSearch / Kibana/Grafana</li>  <li style="">OCP Exposure &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;would be added advantage</li>  <li style="">Should have &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;worked on any ETL as TechOps</li></ul><div style="">L2 Skillset:</div><ul>  <li style="">3-4 Years of &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in running Technical Operations on Spark, Airflow (Preferably &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;on RedHat OCP and Telecom Domain)</li>  <li style="">Strong &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;knowledge on Linux/Unix commands</li>  <li style="">Strong proven &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;hands-on experience on Spark and Airflow, Yarn</li>  <li style="">Having good &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;understanding of SQL/exadata query writing skills (DDL,DML, Joins, Sub &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;queries, View, Select statement)</li>  <li style="">Hands-on &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;experience with data and analytics</li>  <li style="">Basic knowledge &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;on Jenkins for running and monitoring pipelines at the time of Deployments</li>  <li style="">Should have &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;worked on LogStash / ElasticSearch and should be able to make changes in &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;queries</li>  <li style="">Good Python / &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;shell Scripting</li>  <li style="">Quickly gain &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;understanding of existing processes, Jobs, KPI, Reports.</li>  <li style="">Strong &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analytics, Debugging and Problem-solving skills</li>  <li style="">Should have &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;done Automation of Operation Processes</li>  <li style="">Should be able &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;to query/extract data from Hive/HDFS</li></ul>

Techops SRE 

<div style="">Job Description:</div><div style="">Looking for an experienced Big Data Developer to develop, maintain, and optimize our big data solutions. The ideal candidate will have strong expertise in Java, Spark, API development, and a deep understanding of data engineering and big data tools.</div><div style="">Key Responsibilities:</div><div style="">- Design, develop, and maintain big data solutions using Java and Apache Spark.</div><div style="">- Develop and manage APIs for data ingestion, processing, and extraction.</div><div style="">- Collaborate with data scientists, data analysts, and other stakeholders to understand data requirements and deliver efficient solutions.</div><div style="">- Optimize and tune big data workflows for performance and scalability.</div><div style="">- Implement data engineering best practices to ensure data quality, integrity, and security.</div><div style="">- Work with big data tools and technologies such as Hadoop, HDFS, Hive, HBase, Kafka, and others as needed.</div><div style="">- Troubleshoot and resolve issues related to data processing and workflows.</div><div style="">- Stay updated with the latest trends and advancements in big data technologies and tools.</div><div style="">Required Qualifications:</div><div style="">- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</div><div style="">- 4-8 years of experience in big data development and data engineering.</div><div style="">- Proficiency in Java and experience with Apache Spark.</div><div style="">- Experience in API development and integration.</div><div style="">- Strong understanding of data engineering principles and big data concepts.</div><div style="">- Familiarity with big data tools such as Hadoop, HDFS, Hive, HBase, and Kafka.</div><div style="">- Experience with SQL and NoSQL databases.</div><div style="">- Excellent problem-solving and analytical skills.</div><div style="">- Strong communication and collaboration skills.</div><div style="">Preferred Qualifications:</div><div style="">- Experience with cloud platforms such as, Spark, Data/Delta lakes, Modern Data stack.</div><div style="">- Knowledge of containerization technologies like Docker and Kubernetes.</div><div style="">- Experience with continuous integration and continuous deployment (CI/CD) pipelines.</div><div style="">- Familiarity with machine learning frameworks and libraries.</div><div style="">Benefits:</div><div style="">- Competitive salary and benefits package.</div><div style="">- Opportunity to work with cutting-edge technologies in a dynamic and collaborative environment.</div><div style="">- Professional growth and development opportunities.</div>

Big Data Developer

<div style="">Job Summary We are seeking experienced Ab Initio Developers with 3 to 4 years of experience in Ab Initio and related technologies. The ideal candidate will have expertise in data warehousing concepts ETL processes and data integration. Minimum of 3-4 years of experience in Ab Initio Ability to work independently, good communication skills, experience in working on complex and medium to large projects. Primary skill is Ab Initio, well versed with CoOp 3 and above, EME concepts. Primary skills in Ab Initio GDE, Continuous graphs , Ab Initio plans Proficient in Ab Initio features and functionality (Minimum hands on in cooperating version 2.15 and 3.x), including EME concepts. Good experience in Hadoop Able to work on UNIX scripting (Medium complexity) Technical proficiency to include working knowledge in Oracle, PLSQL Scheduler knowledge (control center,) experience in working on multiple technologies and complex projects skills required Multi-tasking capability - working in multiple modules</div>

Pune Office

AbInitio Developer

<div style="">1. Collaborate with cross-functional teams to design, implement, and maintain robust and scalable Big Data infrastructure.</div><div style="">2. Build and manage CI/CD pipelines for deploying and monitoring Big Data applications and services.</div><div style="">3. Implement automation scripts for provisioning, configuration, and orchestration of Big Data clusters using tools such as [tools like Ranger, Ansible, or others].</div><div style="">4. Ensure high availability, performance, and security of Big Data platforms.</div><div style="">5. Troubleshoot and resolve issues related to infrastructure, applications, and data pipelines.</div><div style="">6. Collaborate with data engineers and data scientists to optimize and streamline data processing workflows.</div><div style="">7. Implement and maintain monitoring and logging solutions for Big Data applications and infrastructure components.</div><div style="">8. Evaluate and adopt new tools and technologies to enhance the efficiency of the DevOps processes.</div><div style="">9. Provide support to development teams in areas such as environment setup, debugging, and performance tuning.</div><div style="">1. Bachelor's degree in Computer Science, Engineering, or a related field.</div><div style="">2. Proven experience (3-6 years) working as a DevOps Engineer with a focus on Big Data technologies.</div><div style="">3. Strong expertise in deploying and managing Big Data frameworks such as Hadoop, Spark, Kafka, Hue , Airflow, Trino, etc.</div><div style="">4. Experience with containerization and orchestration tools such as Docker and Kubernetes.</div><div style="">5. Proficiency in scripting languages (e.g., Python, Bash) for automation tasks.</div><div style="">6. Hands-on experience with configuration management tools like Ansible,</div><div style="">7. Strong hands on with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitLab CI).</div><div style="">8. Understanding of security best practices for Big Data environments.</div><div style="">9. Excellent problem-solving and communication skills.</div>

Devops - Big Data 

<ul>  <li style="">Build scalable, secure, and robust technical solutions with product vision, learning and incorporating new technologies as appropriate.</li>  <li style="">Produce high-quality and bug-free code as per the coding standards in close collaboration and interaction with other members of the Engineering/QA team.</li>  <li style="">Participate in Agile methodologies for all aspects of the software development lifecycle (SDLC) process.</li>  <li style="">Develop High Level and Low-Level Technical design documentation.</li>  <li style="">Work with support team to resolve production support issues.</li>  <li style="">Participate in peer reviews.</li>  <li style="">Mentor the junior developers and help build knowledge base.</li>  <li style="">Assist with technical documentation.</li>  <li style="">Consult with QA staff on strategies for testing specific work items.</li>  <li style="">Other duties as deemed necessary by management.</li>  <li 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.</li></ul>

Remote

Junior Application Engg Frontend

<h2 style="font-size: 1.5em">Core skills and Competencies</h2><div style="">1. Design, develop, and maintain data pipelines, ETL/ELT processes, and data integrations to support efficient and reliable data ingestion, transformation, and loading.<br>2. Collaborate with API developers, and other stakeholders to understand data requirements and ensure the availability, reliability, and accuracy of the data.<br>3. Optimize and tune performance of data processes and workflows to ensure efficient data processing and analysis at scale.<br>4. Implement data governance practices, including data quality monitoring, data lineage tracking, and metadata management.<br>5. Work closely with infrastructure and DevOps teams to ensure the scalability, security, and availability of the data platform and data storage systems.<br>6. Continuously evaluate and recommend new technologies, tools, and frameworks to improve the efficiency and effectiveness of data engineering processes.<br>7. Collaborate with software engineers to integrate data engineering solutions with other systems and applications.<br>8. Document and maintain data engineering processes, including data pipeline configurations, job schedules, and monitoring and alerting mechanisms.<br>9. Stay up-to-date with industry trends and advancements in data engineering, cloud technologies, and data processing frameworks.<br>10. Provide mentorship and guidance to junior data engineers, promoting best practices in data engineering and ensuring the growth and development of the team.</div><div style="">11. Able to implement and troubleshoot Rest services in Python.</div><h2 style="font-size: 1.5em"><br></h2>

Data Engineer

<div style="">Title: Informatica L2 Support Engineer</div><div style="">Description:</div><div style="">Informatica production support(24*7) experience and operations</div><div style="">L2 application monitoring and production issue resolution - &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Informatica</div><div style="">Incident reporting</div><div style="">L2 analysis for incidents reported</div><div style="">Meetings with different teams for issue analysis and resolution</div><div style="">SOP preparation</div><div style="">Participating in Bridge calls and driving it.</div><div style="">IM/PM management</div><div style="">Willing to work in Rotation basis on 24*7 support model</div><div style="">Willing to work from office (no WFH/Hybrid model)</div><div style="">Primary skills</div><div style="">Informatica - Power Center Monitor, Power Center Workflow Manager, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Scheduler, Power Center Designer</div><div style="">Unix/Linux commands and scripting</div><div style="">DWH concepts</div><div style="">SQL/PostGres data analysis and profiling</div><div style="">DB - Greenplum</div><div style="">Incident and problem management</div><div style="">L1, L2 issues analysis and resolution</div><div style="">Business communication - User interaction, L1 training, SOP &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;preparation</div><div style="">Production operations and support activities</div><div style="">Data processing and transformation - ETL</div><div style="">Readiness to learn new technologies</div><div style="">Flexibility to work on various type of tasks within the operations</div><div style="">Status reporting - WSR, DSR, et.al.</div><div style="">CAB calls</div><div style="">Worked into Service now or any ticketing tools.</div><div style="">Have knowledge of ITIL process</div><div style="">Managing team and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;experience in shift roster and task assignment.</div><div style="">Secondary</div><div style="">- ITRS</div><div style="">-ALM</div><div style="">- Cloudera</div>

NSE (National Stock Exchange) - Mumbai

Informatica L2

<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>