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Tier-1 bank, metro Data Engineer role with broad skills and recognizable brand attracts strong competition.
Core ETL, SQL and pipeline skills are transferable, but Abinitio and banking context add domain specificity.
Mandatory ETL tools, strong SQL, scheduling and data modelling increase screening rigidity.
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Build and maintain data architectures including data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Develop processing and analysis algorithms for large and complex data volumes.
Collaborate with data scientists to build and deploy machine learning models and influence operational effectiveness with cross-functional coordination.
Experience with ETL tools preferably Ab Initio and DBT.
Strong SQL skills and proficiency in Unix and bash scripting.
Experience with scheduling tools such as Tivoli and/or Autosys.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Chennai, India.
Proven ability to lead or collaborate across teams delivering complex data engineering solutions.
Strong technical expertise in data modelling (conceptual, logical, physical) and ETL development.
Experience providing strategic input on risk, control, and operational effectiveness in data engineering contexts.