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We are seeking a highly skilled Senior Data Engineer to join our dynamic team in Andhra Pradesh. The ideal candidate will have extensive experience in designing and implementing data solutions that leverage cloud technologies, particularly AWS. As a Senior Data Engineer, you will be responsible for building and maintaining robust data pipelines, ensuring data quality, and optimizing data storage solutions using Redshift. You will also work with big data technologies such as Spark and PySpark to process large datasets efficiently. Your expertise in Python and SQL will be crucial for developing data transformation scripts and querying databases effectively. Additionally, you will utilize Airflow for orchestrating workflows and Kafka for managing real-time data streams. Key responsibilities include collaborating with data scientists and analysts to understand data requirements, implementing ETL processes, and ensuring the scalability and reliability of data systems. The successful candidate will possess strong problem-solving skills, a deep understanding of data architecture, and the ability to work in a fast-paced environment. If you are passionate about data engineering and eager to contribute to innovative projects, we encourage you to apply.
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