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Tier-1 employer, metro location, senior data engineer skills with niche stack — medium competition.
Core data engineering skills are transferable across industries, though banking domain experience is advantageous.
Explicit 7-12 years plus many mandatory big-data technologies creates high shortlisting strictness.
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Participate in establishing and implementing new or revised application systems and programs in coordination with the Technology team.
Monitor and control all phases of software development including analysis, design, construction, testing, implementation, and provide user support.
Act as SME to senior stakeholders, advise or coach junior analysts, recommend advanced programming solutions, and ensure compliance with relevant policies and regulations.
7-12 years of relevant experience in systems analysis, programming, and project management.
Mandatory programming skills in Python, PySpark, PyFlink; experience with Apache Iceberg, Hive, Apache Airflow, Tableau, Apache Superset, Apache Spark, Databricks, Apache Flink, Apache Trino, Starburst.
Experience with both SQL and NoSQL databases and familiarity with AWS, Azure, or GCP cloud platforms.
Bachelor’s degree or equivalent experience.
Experienced in managing and implementing complex application development projects with minimal supervision.
Strong technical expertise in big data processing frameworks and data orchestration tools within cloud environments.
Capable of providing technical leadership and guidance to junior team members and liaising with senior stakeholders effectively.