• 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.
• Robust interpersonal skills and a professional approach to collaboration and communication with global team.
• Strong 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