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Tier-1 brand, common Big Data title, mid-level (3+) experience, metro location, broad required skills.
Core big-data engineering skills (Spark, Python, SQL) transfer easily across industries.
Explicit 3+ years plus multiple mandatory big-data technologies enforces strict technical filtering.
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Design and develop big data software systems focused on real-time and batch processing using Python, Scala, Spark, Hadoop, and cloud-based data management technologies.
Analyze, redesign, and optimize unstructured and undocumented code and data processes to improve computational efficiency and align with best development standards.
Work with large, multiple datasets and data warehouses, performing data ingestion, preprocessing, and extraction using SQL, Unix scripting, and programming languages.
Master’s or Engineering degree preferred; Bachelor’s or equivalent experience acceptable.
0-2 years experience in big data systems including Hive, Hadoop, Spark with Python or Scala programming; strong SQL and Unix scripting skills mandatory.
Experience working with large datasets, data warehouses, and cloud-based data management technologies.
Work Experience Required: At least 3 years designing software systems with intense computational needs (real-time and batch processing).
Experience with supervised and unsupervised machine learning methods to complement big data development tasks.
Familiarity with ETL tools (e.g., Talend), performance management tools (e.g., Pepperdata), and big data ecosystem (Cloudera stack) considered a plus.
Capable of clear problem articulation and solution presentation within onsite/offsite delivery models, demonstrating structured communication and collaboration skills.