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Entry-level data engineer in a metro with common skill requirements increases candidate competition.
Core data engineering skills (Python, SQL, Hadoop) are highly transferable across industries.
Explicit 0-1 years requirement plus mandatory Python, SQL, and Hadoop skills increases screening rigor.
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Analyze user requirements and develop solutions for migrating data from treasury systems to a data lake.
Design and implement data engineering tasks within capital risk and balance sheet management systems supporting regulatory reporting.
Document changes and participate in change and configuration management processes.
0-1 years of experience in data engineering or related field.
Proficiency in Python and SQL required.
Intermediate knowledge of Hadoop ecosystem components like Hive, Pig, and MapReduce.
Experience with SQL, NoSQL, RDBMS, data warehousing concepts, and BI tools such as PowerBI or Tableau.
Junior-level candidate comfortable working with large-scale data processing and migration tasks.
Capable of tuning Hadoop solutions and handling unstructured data for analytic readiness.
Exposure to finance or banking domain is a plus but not mandatory.