Sr.Data Engineer

Skill Set: Azure Data Factory, Azure Databricks, Python/Pyspark Mandatory Skills(ONLY 2 or 3) Same as above

We are seeking an experienced and driven Senior Data Engineer to join our dynamic data engineering team. The ideal candidate will have a strong background in data pipeline development, data architecture, and working with large datasets in a fast-paced environment. As a Senior Data Engineer, you will play a crucial role in developing scalable, reliable data systems that enable business intelligence, analytics, and data-driven decision-making across the organization.

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Responsibilities:

• Data Pipeline Development: Design, build, and maintain efficient and scalable data pipelines to ingest, process, and transform large volumes of data from a variety of sources into data warehouses or data lakes.

• Architecture & Infrastructure: Develop and maintain the architecture for data storage and processing systems (e.g., data warehouses, data lakes, ETL frameworks) that support analytics and reporting needs.

• ETL/ELT Processes: Build and optimize ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to ensure high-quality and accurate data delivery for analytics teams.

• Collaboration: Work closely with data scientists, analysts, and other engineering teams to ensure the data infrastructure supports a variety of use cases (e.g., machine learning models, business intelligence).

• Data Quality & Optimization: Implement best practices for data quality, validation, monitoring, and optimization to ensure data integrity and availability.