Sr. Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Data Engineer based in India.

This role sits at the core of building scalable, cloud-based data ecosystems that power advanced analytics and business decision-making. You will be responsible for designing, developing, and optimizing end-to-end data pipelines that ensure reliable, high-quality data across enterprise systems. The position involves working with modern cloud platforms and data architectures to support efficient storage, transformation, and retrieval of large-scale datasets. You will collaborate closely with data architects, product owners, and cross-functional teams to deliver robust and future-ready data solutions. The role also includes technical leadership responsibilities, including guiding engineering practices and contributing to team delivery standards. This is a high-impact opportunity to shape data infrastructure within a global, innovation-driven environment.

• Design, build, and maintain scalable, secure, and cost-efficient cloud-based data solutions supporting enterprise analytics needs.
• Develop and optimize data pipelines for extracting, transforming, and loading (ETL) data into data warehouses and data lakes.
• Ensure data quality, validation, and governance processes are implemented to guarantee accuracy, consistency, and integrity.
• Optimize data storage and retrieval performance across large-scale distributed systems and cloud environments.
• Collaborate with data architects, modelers, product owners, and engineering teams to deliver robust data solutions aligned with business needs.
• Lead and mentor a team of data engineers (internal and external resources), ensuring timely and high-quality deliverables.
• Stay current with emerging cloud technologies, data engineering practices, and industry best standards to continuously improve solutions.

Requirements:

• 5+ years of experience in data engineering, analytics engineering, or related roles in cloud-based environments.
• Strong proficiency in Python and advanced SQL (including PL/SQL, stored procedures, and database routines).
• Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, GCS, Cloud Functions/Run, and GKE.
• Strong understanding of data warehousing concepts, including star schema, fact and dimension modeling, and SCD types.
• Experience with ETL/ELT tools and frameworks such as DBT, Databricks, AecorSoft, or SAP Datasphere.
• Familiarity with data orchestration tools such as Airflow (Composer) or Automic.
• Solid understanding of modern data architectures, including Medallion architecture (Bronze, Silver, Gold, Platinum layers).
• Experience with data modeling tools such as Erwin is a plus.
• Exposure to BI/visualization tools such as Power BI or Tableau is an added advantage.
• Strong leadership, communication, and stakeholder management skills with ability to guide technical teams.
• Problem-solving mindset with ability to design scalable and efficient data solutions.

Benefits:

• 💼 Opportunity to work in a global, innovation-driven organization
• 🌐 Exposure to large-scale enterprise data platforms and advanced cloud architectures
• 📈 Leadership responsibilities with team management and technical ownership
• 🧠 Continuous learning in modern data engineering tools and cloud technologies
• 🏠 Flexible or hybrid work arrangements depending on project needs
• 🤝 Collaborative environment with cross-functional global teams
• 🚀 Career growth opportunities in data engineering and analytics leadership
• 🏥 Standard corporate benefits including health and wellness support (as applicable)