Senior Data Engineer

Luxoft · Remote

Source and collection record

Last observed by our collector: 8 October 2026 at 11:44 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: VR-125103

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Project description We are seeking a highly experienced Senior Data Engineer to design, develop, and optimize enterprise-scale data platforms using modern cloud technologies. The role involves building robust ELT pipelines, scalable data models, and analytics-ready datasets leveraging Snowflake, Azure Data Factory (ADF), DBT, Python, and SQL. The ideal candidate will play a key role in enabling data-driven decision making by delivering high-quality, governed, and performant data solutions. Responsibilities Key Responsibilities Design and develop scalable ELT pipelines using Snowflake, ADF, DBT, and Python. Build and maintain enterprise data models including 3NF, Star Schema, and Snowflake Schema. Optimize Snowflake performance through query tuning, clustering, micro-partitioning, and warehouse management. Develop reusable and modular data transformation frameworks using DBT (Jinja, Macros, Testing, Documentation). Automate data ingestion, transformation, and operational processes using Python, Pandas, and PySpark. Implement workflow orchestration using tools such as Apache Airflow, Prefect, or Dagster. Establish data quality, governance, monitoring, and CI/CD best practices. Collaborate with Data Analysts, Data Scientists, Product Owners, and Business Stakeholders to deliver trusted data products. Create and maintain technical documentation, deployment procedures, and operational runbooks. Mandatory Skills Snowflake Data Warehouse Azure Data Factory (ADF) DBT Python Advanced SQL Data Modeling (3NF, Star Schema, Snowflake Schema) Apache Airflow / Prefect / Dagster Cloud Platforms (Azure preferred) Git and CI/CD Data Quality and Governance Frameworks Agile/Scrum Methodology Nice-to-Have Skills PySpark Databricks Microsoft Fabric Skills Must have Mandatory Skills Snowflake Data Warehouse Azure Data Factory (ADF) DBT Python Advanced SQL Data Modeling (3NF, Star Schema, Snowflake Schema) Apache Airflow / Prefect / Dagster Cloud Platforms (Azure preferred) Git and CI/CD Data Quality and Governance Frameworks Agile/Scrum Methodology Nice to have Nice-to-Have Skills PySpark Databricks Microsoft Fabric Other Languages English: C1 Advanced Seniority Senior