Job Description

: Data Engineer - DBT
Exp: 4 - 7 years
CTC: 15 LPA
Notice period: Immediate
Job Location: Chennai
Profile source: Chennai
Timings: 1:00 PM to 10:00 PM (IST)
Work Mode: WFO (Mon
Fri)
Job Summary:
We are seeking a skilled and motivated Data Engineer with a strong background in ETL processes, Snowflake,
and Cloud technologies. The ideal candidate will have hands-on experience with DBT processes, pipeline
configuration, and scheduling, as well as proficiency in SQL and PL/SQL. This role requires a detail-oriented
individual who can manage multiple projects simultaneously, prioritize tasks effectively, and contribute to the
design and optimization of data infrastructure.
Responsibilities:

• Develop, configure, and maintain ETL pipelines using DBT to transform and load data into the data

• Work with Snowflake to design, implement, and optimize data models and storage solutions.

• Integrate and maintain data processes in Azure Cloud, ensuring scalability and performance.

• Write and optimize SQL and PL/SQL queries to support business requirements and analytical needs.

• Collaborate with cross-functional teams to gather requirements, define data needs, and deliver high

• Manage multiple data engineering projects simultaneously, balancing priorities and deadlines.

• Troubleshoot and resolve issues with data pipelines and databases, ensuring data quality and integrity.

• Continuously improve ETL processes and architecture to meet evolving business needs.

• Bachelors degree in the field of Computer Science or equivalent

• Certifications in specific technologies or platforms. (DBT, Snowflake, Azure or SQL)Skills and Experience Required:

• Strong problem-solving and troubleshooting skills in data engineering.

• Ability to work independently and manage time effectively, balancing multiple projects and priorities.

• Excellent communication and collaboration skills to work with cross-functional teams.

• 3+ years of experience with ETL processes and pipeline development using DBT.

• 2+ years of experience with Snowflake as a data platform.

• 2+ years of experience with Azure Cloud and its data-related services.

• 3+ years of experience with SQL and PL/SQL for querying and managing relational databases.