Job Summary:

We are looking for a Senior Data Engineer with strong hands-on experience in Data Vault 2.0 (mandatory), DBT/Coalesce, Snowflake, SQL, PySpark, AWS, and Airflow. The candidate will lead data solution design, development, and delivery while ensuring data quality, governance, and engineering best practices.

Roles and Responsibilities:

- Design and implement scalable data warehouse solutions using Data Vault 2.0.

- Develop and optimize data pipelines using DBT/Coalesce, Snowflake, SQL, PySpark, AWS, and Airflow.

- Lead solution design, architecture discussions, and technical reviews.

- Define and enforce Data Vault standards, governance, and best practices.

- Conduct code reviews and mentor junior engineers.

- Collaborate with stakeholders on technical decisions, estimation, and delivery planning.

- Ensure data quality, performance, reliability, and scalability of data solutions.

Mandatory Skills:

- Data Vault 2.0:



Solid hands-on implementation experience is mandatory.

- DBT and/or Coalesce implementation experience.

- Strong hands-on experience with Snowflake, SQL, PySpark, AWS, and Apache Airflow.

- Expertise in data warehousing, ETL/ELT pipelines, and data modeling.

- Experience in solution design, technical reviews, and code reviews.

- Strong communication, stakeholder management, and technical leadership skills.

Preferred Skills:

- Experience with AWS services such as S3, Glue, and Lambda.

- Knowledge of CI/CD, Git, and automated data quality testing.

- Experience with Snowflake performance optimization and data governance.

- Experience working in Agile/Scrum environments.

Note: Candidates must have hands on experience in Data Vault 2.0 implementation experience. Theoretical knowledge alone is not sufficient.

📌 Data Engineer (Hyderabad)
🏢 Qentelli
📍 Hyderabad