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Tier-1 brand, Pune metro, mid-level generalist big-data role creates high candidate competition.
Core big-data engineering skills (Spark, Hadoop, Python, SQL) are highly transferable across industries.
Multiple mandatory big-data skills and an explicit 'at least 3 years' requirement make filters strict.
Own and improve big data systems using Hive, Hadoop, Spark (Python/Scala) with cloud-based data management technologies.
Analyze and redesign existing unstructured and undocumented code to optimize compute and data processes following best development standards.
Work with large datasets, data warehouses, and implement data preprocessing and application engineering for efficient data management.
Master's or Engineering degree with 0-2 years experience in Big Data systems including Hive, Hadoop, Spark (Python/Scala).
Hands-on experience with Unix scripting, Python, Scala programming, and strong SQL skills.
At least 3 years of experience designing software systems with heavy computational needs across real-time and batch processing (apparent discrepancy in experience required).
Experience working in onsite-offsite delivery model and familiarity with data ingestion, ETL tools (Talend), and knowledge of data governance and security practices.
Capable of handling complex problem-solving by analyzing factual information and presenting structured solutions to management.
Comfortable working with legacy, unstructured code and able to refactor it into standardized, efficient codebases.
Experienced in environments involving large datasets, data warehouses, and collaborative cross-location delivery models.