- Design, develop, deploy, and maintain ETL processes between upstream data layer and Actimize SAM.
- Optimize and enhance existing ETL processes for improved operational efficiency and changing/new requirements.
- Collaborate with business analysts and other Tech teams to understand requirements, upstream data models, and implement right solution
- Implement robust data quality controls
- Implement robust automated test cases for unit and integration testing
- Provide ongoing production support and troubleshooting for ETL ensuring high availability and reliability.

Required Skills

- Minimum of 6 years of hands-on experience with SDLC and developing backend ETL processes.
- Proficiency in advanced Python programming including PySpark.
- Proficiency with core Java and Scala for backend development.
- Strong database skills, with experience in at least one RDBMS such as Sybase, DB2, Oracle, or PostgreSQL.




- Strong knowledge and experience with Big Data/Hadoop platform.
- Proficiency in developing and managing Unix/Linux shell scripts, and job scheduling tools like Airflow, Autosys, or Ctrl-M.
- Strong interpersonal skills and a professional approach to collaboration and communication with global team.
- Robust analytical, problem-solving, and troubleshooting skills.
- Strong ability to overcome complex technical challenges.
- Strong verbal and written communication skills.
- Understanding of data quality and data governance.

Desired Skills (Not required)

- Familiarity with banking and finance technology solutions is a significant advantage.
- Experience with Actimize UDM/SAM is a major plus
- Experience with Agile project delivery

📌 Opening For Python ETL Data Engineer (Mumbai)
🏢 Tekskills
📍 Mumbai