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