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Data Asset Developer / Hadoop-Spark Location: Hyderabad Experience: 58 Years Open Positions: 5 Notice Period: 15 Days Requirement: LTIMindtree Role OverviewWe are looking for an experienced Data Asset Developer with strong expertise in Apache Spark, Python, PySpark and Spark SQL to design and develop scalable data architectures and pipelines. The candidate will work closely with data scientists, BI/analytics teams and cybersecurity stakeholders to build high-quality, secure and efficient data assets. Key ResponsibilitiesDesign and implement scalable data models and data architectures for cybersecurity data assets.Develop robust and scalable data pipelines using Databricks, PySpark/Spark and Spark SQL.Work with large and multiterabyte datasets and optimize pipelines for performance and cost.Design and maintain Star and Snowflake schema data models.Develop ETL processes and support data warehouse/data lakehouse architectures.Work with Databricks Notebooks and Unity Catalog.Ensure data quality, security, governance and compliance.Prepare technical documentation, metadata and data asset specifications.Collaborate with Data Scientists, BI/Analytics Engineers and business stakeholders.Troubleshoot data pipeline and performance issues and implement improvements.Mandatory SkillsApache SparkPySparkPython for DataSpark SQL / SparkSQLDatabricksUnity CatalogData ModellingETL / Data PipelinesData Warehouse conceptsGood to HaveAzure cloud data solutionsLakehouse architectureMySQLMachine Learning / Advanced AnalyticsCybersecurity domain knowledgeDatabricks or cloud certificationsEducationB.Tech / MCA / M.Tech in Computer Science, Information Technology, Engineering or a related field preferred. Interested candidates can share their updated CV along with current CTC, expected CTC, location and notice period. .
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The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.