Hybrid
Full Time
Key Responsibilities:
• Develop high quality, secure and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO.
• Leverage technologies and solutions to innovate with increasingly large data sets.
• Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
• Perform assigned tasks and production incident independently.
Must Have:
• 5-9 years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization
• Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage •
Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge.
• Use Git-based version control systems and CI/CD pipelines (e.g., Jenkins).
• Implement and manage HIVE external tables, partitions, and various file formats.
• Work across on-premises and cloud environments (AWS, Azure, Databricks).
Experience of building Nifi pipelines .
Preferred
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written.
• Ability to multi-task across multiple projects, interface with external / internal resources.
• Proactive, detail-oriented and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results
• Willingness to quickly learn and implement new technologies, participate POC to explore best solution for the problem statement
• Experience working diverse and geographically distributed project teams.
Skills & Qualifications: Bachelors degree in information systems, Information Technology, Computer Science or Engineering or equivalent work experience.
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