Mandatory Skillset : Pyspark/Python
Build and Operate Data Pipelines: Develop and maintain robust and scalable data pipelines to ensure the efficient and reliable flow of data within the organization.
ETL Optimization: Design, code, and fine-tune big data processes using Apache Spark for optimal performance and data processing efficiency.
Proficiency in SQL: Utilize SQL to extract, transform, and analyze data from various sources, ensuring data accuracy and integrity.
Hadoop Architecture Knowledge: Demonstrate a solid understanding of Hadoop architecture and its components to support our big data infrastructure.
Proficiency in Hive: Work with Hive for data warehousing and querying, creating structured datasets for analytical purposes.
Experience in Workflow Orchestration:
Collaborate with teams to design and implement workflow orchestrations using tools such as Informatics power center.
Benefits
Cutting-edge Environment: Work with cutting-edge technology and a forward-thinking team.
Career Growth: Opportunities for professional development and career advancement.
Competitive Benefits: Comprehensive perks package, including health insurance.
Agile Culture: A team-oriented and inclusive work culture that values diversity and innovation.
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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Etl Developer Mumbai
🏢 Tis Labs
📍 Mumbai
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