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Job Type

Full Time

Job Description

Project Role :

Data Engineer

Project Role Description :

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills :

PySpark

Good to have skills :

NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification :

15 years full time educationSummary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:
  • Hands on knowledge of PYSPARK batch and workflow management
  • Code & API deployments from lower environment to production
  • Runbook and code artefacts review
  • Attend and understand deployment KT
  • Handle workflow failures (5–10 daily), debug issues, and rerun jobs
  • Optimize workflows for performance and resource utilization
  • Analyze and optimize workflows by addressing bottlenecks in workflows.
  • Monitor job latencies and provide recommendations for optimization Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Knowledge of data warehousing concepts and best practices. Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based in Pune. - A 15 years full time education is required.

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