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High competition due to Tier-1 brand, mid-level Big Data role, Pune metro, and broad skills.
Medium — Big Data engineering skills are transferable but require specific Hadoop/Spark ecosystem experience.
High due to explicit experience and mandatory Hadoop/Spark/Python/Scala tech stack requirements.
Own and improve big data systems using Hive, Hadoop, and Spark (Python/Scala) for batch and real-time processing.
Develop and optimize data pipelines, including data ingestion, ETL, and preprocessing to handle large and multiple datasets.
Refactor and redesign unstructured code into best-in-class code aligning with development standards, impacting operational efficiency.
Educational Qualification: Master's or Engineering degree (preferably in relevant field) or Bachelor's degree with equivalent experience.
Experience: 0-2 years in big data systems, plus prior related experience preferred; at least 3 years designing software systems with intensive computational needs.
Technical Skills: Proficiency in Hive, Hadoop, Spark (Python/Scala), Unix scripting, Python, Scala programming, SQL, and familiarity with cloud data management technologies.
Additional Requirements: Exposure to machine learning techniques, ETL tools (e.g., Talend), performance management tools (e.g., Pepperdata), and experience working in onsite-offsite delivery models.
Experienced in handling large datasets and data warehouses with strong data engineering and preprocessing skills, capable of designing scalable data solutions.
Able to analyze complex business problems and communicate solutions clearly to management, reflecting strong evaluative judgment.
Familiar with compliance aspects like data governance, security, and regulatory standards, working effectively in hybrid delivery environments.