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Generalist data role and metro hiring raise competition; Alteryx specialization slightly reduces it.
Medium: transferable core data skills but banking/credit preference adds domain specificity.
High: explicit 2-3 years plus mandatory SQL, PySpark and Alteryx skills required.
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Develop and maintain data workflows using SQL, PySpark, and Alteryx for data extraction, transformation, validation, and automation.
Perform data analysis, profiling, data quality validation, and data mapping across multiple large and complex data sources.
Collaborate with business and technology teams to define critical data elements, reusable data assets, and provide data documentation and reporting support.
Strong hands-on skills in SQL, Python, PySpark, and Alteryx with experience in building and automating data workflows.
Graduate degree in Computer Science, Data Science, or related field.
2-3 years of experience in data engineering or related role.
Experience working with large datasets and knowledge of Big Data frameworks like Hadoop, Hive, Spark.
Experienced in banking domain with preference for Credit & Lending, Retail Credit or Traded Credit sectors.
Ability to manage complex data transformations and data mapping for multiple source systems.
Familiarity with Agile delivery frameworks and ability to document technical and business processes clearly.