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LTIMindtree

Big Data Engineer

Actively Reviewing

LTIMindtree

India Full-Time 4–8 yrs exp Posted 3 weeks ago  · Apply by Aug 25, 2026

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