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.
Robust 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.
Solid 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