Data Engineer

We're looking for

Data Engineers (India)! Responsibilities

• Python Development: Develop, maintain, and support data engineering solutions using Python with strong coding standards.
• Data Frames & Data Processing: Work extensively with Data Frames using libraries such as pandas or PySpark for data transformation and analysis.
• ETL Pipeline Development: Build, enhance, and support reliable ETL pipelines for data ingestion, transformation, and loading from multiple data sources.
• Data Modeling: Design and maintain data schemas, including relational and dimensional data models, to support analytics and reporting needs.
• Data Migration: Perform data migration activities between different storage systems, formats, or environments while ensuring data accuracy and integrity.
• Production Support: Monitor data pipelines, troubleshoot issues, and provide timely resolution to ensure smooth data operations.
• Data Quality & Optimization: Identify data quality issues, optimize data processing workflows, and improve performance and reliability.
• Collaboration: Work closely with cross-functional teams such as analytics, application development, and infrastructure to support data requirements.

Qualifications & Skills

• Attention to detail and commitment to delivering high-quality work
• Ability to work independently as well as collaboratively with cross-functional teams
• Adaptability and willingness to learn new technologies, tools, and development methodologies ( *Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employer’s authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.) Skills: pipelines,data quality,data