Senior Data Engineer

Role & Responsibilities

1. Design, build, and maintain data solutions and ETL pipelines using

   Databricks

   and

   Azure Data Factory

   .
2. Develop and optimize

   data architectures, data models, and workflows

   supporting analytics and BI platforms.
3. Implement

   data quality, validation, and monitoring processes

   to ensure reliable and accurate data delivery.
4. Collaborate with

   business, analytics, and product teams

   to translate requirements into effective data solutions.
5. Provide

   technical leadership and support

   throughout the full data lifecycle, from development to production operations.

Preferred Candidate Profile

1. 1215 years of experience

   with strong hands-on expertise in

   Databricks and Azure Data Factory

   .
2. Proven track record in

   ETL design, optimization, and SQL-based data engineering

   .
3. Good understanding of

   data architecture, modeling, and DevOps practices

   for data delivery.
4. Experience in

   metadata management, data lineage, and data quality frameworks

   is an advantage.
5. Strong

   analytical, communication, and collaboration skills

   , with the ability to work independently in cross-functional teams.