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Tier-1 brand plus mid-level generalist title, metro location, and broad technical requirements.
Role requires general Big Data skills but banking governance exposure increases domain specificity.
Explicit years and mandatory Big Data, Spark, Python/Scala, SQL requirements indicate strict filters.
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Contribute to designing, coding, and optimizing big data processes using Spark (Python/Scala), Hive, and Hadoop.
Work with large, complex, and often undocumented datasets to develop best-in-class data solutions and pipelines.
Support data preprocessing, ETL activities, and data quality ensuring alignment to standards within onsite/offsite delivery model.
Master’s or Engineering degree with 0-2 years experience in Big Data systems including Hive, Hadoop, Spark (Python/Scala).
Hands-on skills in Unix scripting, Python, Scala programming, and strong SQL knowledge.
Experience working with large datasets, data warehouses, and ability to program data pulls.
Work Experience Required: At least 3 years designing software systems with high computational needs including real-time and batch processing.
Has proficiency in handling complex data ecosystems including cloud-based data management and ETL tools (Talend, Cloudera stack preferred).
Capable of analyzing complex business problems and presenting solutions clearly to management.
Experience working within an onsite/offsite delivery model and familiarity with data governance, security, and compliance practices.