Big Data Engineer

Job description

Skill: Big Data Engineer (Pyspark + SQL) Exp: 5 to 8 years Loc: Pune & Chennai **JD** - Lead end to end analysis of largescale multisource datasets using Big Data technologies driving insights for strategic and operational decision making - Design develop and optimize complex analytical queries using Starburst Trino Presto to enable fast federated access across enterprise data sources - Build manage and optimize analytics workflows in Databricks using SQL PySpark and Python for scalable data processing - Partner closely with Data Engineering Architecture and Platform teams to influence data models analytics architecture and performance optimization - Translate ambiguous business problems into structured analytical approaches and clearly communicate findings trends and recommendations to senior stakeholders - Define and enforce best practices for data quality validation reconciliation and governance within analytics solutions - Mentor junior and midlevel analysts providing technical guidance code reviews and analytical best practices - Support executive reporting dashboards and advanced adhoc analysis as required - Contribute to continuous improvement of analytics processes standards and reusable frameworks710 years of experience as a Data Analyst Senior Data Analyst working in largescale enterprise data environments - Strong handson experience with Big Data ecosystems Hadoop Hive Spark distributed data platforms - Proven experience using Starburst TrinoPresto for complex high performance analytical queries - Extensive experience with Databricks including Databricks SQL Spark based analytics and notebook development - Expert level SQL skills query optimization performance tuning complex joins - Strong proficiency in Python and or PySpark for data analysis and transformation - Solid understanding of data warehousing data modeling and analytics architecture concepts - Excellent analytical problem solving and stakeholder communication skills Experience working on cloud platforms such as AWS Azure or GCP - Exposure to BI and visualization tools Power BI Tableau or equivalent - Knowledge of enterprise data governance metadata management and data quality frameworks - Experience working in Agile DevOps delivery models Strong ownership and ability to lead quality outcomes end to end - Clear communication and stakeholder management - Mentoring mindset and collaboration across QA Dev and DevOps teams