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Popular mid-level data role in a metro city but requires niche Alteryx/PySpark skills.
Core data skills are transferable, though banking/credit domain preference adds moderate bias.
Explicit 2-3 years requirement plus mandatory Alteryx, PySpark and SQL skills.
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Analyze, profile, and transform data from multiple source systems to meet business and technology needs.
Develop and maintain SQL, PySpark, and Alteryx workflows for data extraction, transformation, validation, and automation.
Define data mappings, critical data elements, and reusable data assets collaborating with business and technology teams.
2-3 years of experience in data engineering or related field.
Proficient in SQL, Python, PySpark, and Alteryx including workflow design and automation.
Graduate degree in Computer Science, Data Science, or related field.
Exposure to Banking domain, preferably Credit & Lending, Retail Credit, or Traded Credit preferred but not strictly mandatory.
Experienced in working with large, complex datasets and performing data mapping and quality validation.
Comfortable with Big Data frameworks such as Hadoop, Hive, and Spark for complex data transformations.
Capable of creating comprehensive documentation covering data mapping, technical design, and process workflows.