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Big Data Engineer
Actively Reviewing
LTIMindtree
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
Required Skills
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