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Position Overview : We are seeking a talented and experienced Data Engineer with expertise in Apache Spark, Python / Java and distributed systems. The ideal candidate will be skilled in creating and managing data pipelines using AWS. Key Responsibilities : - Design, develop, and implement data pipelines for ingesting, transforming, and loading data at scale. - Utilize Apache Spark for data processing and analysis. - Utilize AWS services (S3, Redshift, EMR, Glue) to build and manage efficient data pipelines. - Optimize data pipelines for performance and scalability, considering factors like partitioning, bucketing, and caching. - Write efficient and maintainable Python code. - Implement and manage distributed systems for data processing. - Collaborate with cross-functional teams to understand data requirements and deliver optimal solutions. - Ensure data quality and integrity throughout the data lifecycle. Qualifications : - Proven experience with Apache Spark and Python / Java. - Strong knowledge of distributed systems. - Proficiency in creating data pipelines with AWS. - Excellent problem-solving and analytical skills. - Ability to work independently and as part of a team. - Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). - Proven experience in designing and developing data pipelines using Apache Spark and Python. - Experience with distributed systems concepts (Hadoop, YARN) is a plus. - In-depth knowledge of AWS cloud services for data engineering (S3, Redshift, EMR, Glue). - Familiarity with data warehousing concepts (data modeling, ETL) is preferred. - Strong programming skills in Python (Pandas, NumPy, Scikit-learn are a plus). - Experience with data pipeline orchestration tools (Airflow, Luigi) is a plus. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. Preferred Qualifications : - Experience with additional AWS services (e.g., AWS Glue, AWS Lambda, Amazon Redshift). - Familiarity with data warehousing and ETL processes. - Knowledge of data governance and best practices. - Have a good understanding of the oops concept. - Hands-on experience with SQL database design - Experience with Python, SQL, and data visualization/exploration tools

Hyderabad

Country Delight - Data Engineer - Spark/Python (1-3 yrs)

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