We are looking for an experienced Senior Data Engineer to lead and drive enterprise-scale data engineering initiatives. The ideal candidate will have solid expertise in designing and implementing up-to-date data platforms, data warehouses, and data lakes using AWS technologies. This role requires hands-on technical expertise along with leadership capabilities to manage end-to-end data programs, ensure data governance, and collaborate with cross-functional teams to deliver scalable and reliable data solutions.
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Key Responsibilities
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Lead the design, development, and implementation of enterprise data engineering and data management projects.
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Design and build scalable data warehouses and data lake solutions on AWS.
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Develop and optimize ETL/ELT pipelines using PySpark, Apache Airflow, and SQL.
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Implement and maintain metadata management and data governance frameworks to ensure data quality, security, and compliance.
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Build and optimize big data processing pipelines for high-volume and complex datasets.
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Collaborate with business stakeholders, architects, and engineering teams to understand data requirements and deliver effective solutions.
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Drive the overall data program, ensuring timely delivery, technical excellence, and adherence to best practices.
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Mentor junior team members and provide technical leadership across the data engineering team.
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Required Skills
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10+ years of experience in Data Engineering and Data Management.
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Strong expertise in Data Warehousing and Data Lake architecture.
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Hands-on experience with AWS cloud services.
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Solid experience with Apache Airflow, PySpark, and SQL.
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Experience with Metadata Management tools and practices.
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Strong background in Big Data technologies and enterprise-scale implementations.
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Mandatory experience in Data Governance frameworks and best practices.
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Excellent communication, stakeholder management, and leadership skills.
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Proven ability to lead enterprise data initiatives and drive cross-functional collaboration.
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📌 Senior Data Engineer Pune
🏢 IntraEdge
📍 Pune
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