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Tier-1 brand, mid-level generalist data role in metro locations with broad Spark/Scala requirements.
Core data engineering skills (Scala, Spark, SQL) transfer easily across industries.
Explicit 5-8 years, mandatory Scala/Spark/Hadoop/SQL and senior data experience.
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Design, develop, and maintain scalable data pipelines and API integrations handling increasing data volumes and complexity.
Improve data models for business intelligence tools to enhance data accessibility and enable data-driven decision making.
Provide senior-level technical consulting and collaborate with data architects and IT teams on highly complex data projects.
5-8 years of experience as a Senior Data Engineer or similar role.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience.
Proficient in Scala programming, SQL (DML and validation with DB2), Python, Hadoop, Spark, and Pyspark.
Experience with data pipeline and workflow management tools and basic understanding of Hadoop and Hive.
Experienced in building high-performance algorithms, prototypes, predictive models, and custom analytics applications.
Able to provide senior-level technical leadership and guidance on complex, critical data engineering projects.
Strong problem-solving, analytical skills, and effective communication to collaborate across multiple teams.