Inxite Out - Senior Data Engineer II

Description :

Key Responsibilities :

- Develop ETL/ELT workflows to ingest, clean, transform, and expose data for analytical and operational use cases.

- Ensure data pipelines are scalable, optimized, and designed for performance and reliability.

- Work extensively with Azure Data Factory, Azure Data Lake Storage, Azure Blob Storage, and Azure Synapse Analytics.

- Architect and manage data solutions following Azure security and performance best practices.

- Implement and enhance data lake zones, metadata-driven pipelines, and monitoring dashboards.

- Write advanced SQL queries for data extraction, transformation, and reporting.

- Optimize queries for performance and cost efficiency in cloud data environments.

- Design logical, physical, and dimensional data models aligned with reporting needs.

Collaboration & Communication :

- Work closely with Data Scientists, BI/Analytics teams, and business stakeholders to understand data requirements.

- Communicate technical decisions, architecture patterns, and data flows clearly and effectively.

- Participate in sprint planning, estimation, documentation, and delivery reviews.

Software Engineering & DevOps Practices :

- Use Git for version control and maintain clean, organized code repositories.

- Work within agile development practices, using Jira or similar PM tools.

- Contribute to CI/CD pipelines for data deployments and workflow automation.

Requirements :

- Bachelors degree in B.Sc / BCA / B.Tech / B.E (any specialization).

- Excellent communication skills both written and verbal.

- Stable high-speed internet connection is required for remote collaboration.

- Azure Certifications (e.g., DP-203) will be an added advantage.

- Exposure to Delta Lake or Medallion Architecture.

- Familiarity with Airflow or orchestration frameworks.

- Experience working with distributed systems and large-scale datasets