Lead Data Engineer

5 - 10 years

9 - 13 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Bachelor\u2019s degree in Computer Science, Software Engineering, Information Technology, or related field required
  • At least 7+ years of experience in data development and highly complex data environments with large data volumes
  • At least 5+ years of experience with the development of data workflows in Informatica and/or Talend-
  • At least 5+ years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries and with developing complex stored procedures, triggers, MQTs and views on IBM DB2 (experience with v10.5 a plus)- At least 5+ years of experience developing complex stored procedures, triggers, MQTs and views on IBM DB2 (experience with v10.5 a plus)- Experience with developing scripts and utilities in Perl and Python-
  • Experience with Autosys and/or Airflow-
  • Experience with Hadoop a plus- Strong analytical skills including thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions- At least 5+ years of experience with the development of data workflows in Informatica and/or Talend-
  • At least 5+ years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries and with developing complex stored procedures, triggers, MQTs and views on IBM DB2 (experience with v10.5 a plus)-
  • At least 5+ years of experience developing complex stored procedures, triggers, MQTs and views on IBM DB2 (experience with v10.5 a plus)- Experience with developing scripts and utilities in Perl and Python"

Notes:

This is a Lead Data Engineer role, not a generic Python/Web Analytics lead. The client is looking for candidates with 810 years\u2019 experience in complex data environments, with strong hands-on expertise in:
  • ETL development (Informatica/Talend)
  • SQL/PLSQL and IBM DB2 (stored procedures, triggers, MQTs, views)
  • Scripting (Python, Perl)
  • Workflow tools (Autosys, Airflow)
  • Exposure to Hadoop is a plus
    Profiles must show lead-level data engineering experience with large data volumes and the ability to translate business requirements into technical solutions.

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