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About the role
Key Responsibilities: Manage and transform big data sets using PySpark, Spark-Scala, NumPy, and pandas. Handle analytics and data engineering projects using Python, Spark, SQL, and related tools. Collaborate with customers on Python model evolution and code management. Develop client-ready deliverables independently with minimal supervision. Communicate effectively with clients and present analytical solutions clearly. Data Management Skillsets: Understand data models and identify opportunities for ETL optimization. Translate functional requirements into technical specifications. Work with advanced SQL functionalities such as joins, nested queries, and procedures. Exposure to ETL tools is preferred. Candidate Profile: 3+ years of experience in analytics and data engineering. Strong knowledge of Python, PySpark, SQL, Hadoop, Spark, and HIVE. Excellent analytical, problem-solving, and communication skills.
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