Big Data Engineer - Python+ PySpark + Spark @ Hexaware Technologies

Job Description

Experience - 9 years - 12 years

Location - Mumbai / Chennai / Bangalore / Pune

• Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently.
• Write clean, reusable, and optimized code in Python for data manipulation, analysis, and automation tasks.
• Design and implement ETL workflows to extract, transform, and load data from various structured and unstructured sources.
• Collaborate with data engineers, analysts, and stakeholders to understand data requirements and deliver solutions.
• Optimize Spark jobs for performance tuning, resource utilization, and minimizing execution time.
• Work with distributed computing frameworks to process and analyze big data in a cloud or on-premises environment.
• Develop and maintain unit tests to ensure the accuracy and reliability of data pipelines and transformations.
• Utilize Spark SQL for querying and managing large datasets stored in distributed systems like Hadoop or cloud storage.
• Monitor and troubleshoot data pipeline issues, ensuring reliability and timely delivery of data.
• Stay updated with the latest advancements in PySpark, Spark SQL, and big data technologies to improve existing systems.

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   PySpark Spark Python SQL