We are looking for a highly skilled and experienced ETL Lead with a strong background in Data Warehousing, ETL processes, and Big Data technologies. The ideal candidate should have hands-on experience with Cloudera tools, excellent SQL/PLSQL skills, and the ability to lead a team while working closely with clients in the Banking/Insurance domain.

Responsibilities :

- Design, build, and configure applications to meet business process and application requirements.

- Design, develop, and maintain end-to-end Data Warehouse and ETL solutions.

- Work extensively with SQL, PLSQL, Oracle, Hadoop, and Cloudera Data Platform tools (Spark, Hive, Impala).

- Lead a team of 4+ engineers, guiding both technical and operational tasks.

- Manage daily operations and provide L1/L2/L3 support, ensuring no SLA breaches.

- Collaborate with clients to understand requirements and provide scalable, reliable solutions.

- Conduct team meetings, client discussions, and knowledge transfer (KT) sessions.

- Utilize Shell scripting, Unix commands, and have working knowledge of Java/Python for task

automation and integration.

- Ensure the team follows best practices in coding, documentation, and support.

- Stay up to date with new technologies and demonstrate a willingness to learn as per the

client's needs.

- Be available to work from the client location and travel daily as required.

Requirements :

- Proficient in analysing and rewriting legacy systems.

- Solid team leadership skills with experience managing 4+ people.

- Excellent communication and interpersonal skills.

- Demonstrated ability to manage operations and support teams efficiently.

- Willingness to work from the client location and travel as required.

- Proactive and positive attitude toward learning and adopting new technologies.

- Strong analytical skills and solution-oriented mindset.

- Must have skills : Data Engineering.

- Ability to work under minimal supervision in a fast-paced environment.

- 8+ years of experience in Data Warehousing and ETL Technologies.

- Strong expertise in SQL, PLSQL, Oracle, and the Hadoop ecosystem.

- Hands-on experience with Spark, Hive, and Impala on Cloudera Data Platform.

- Strong understanding of the Banking/Insurance domain.