We are looking for a strong Data Engineer with hands-on experience in building data pipelines, performing transformations, and working with cloud-based data tools. The ideal candidate must have solid SQL skills, good understanding of data modelling, and hands-on exposure to DBT and cloud platforms (preferably GCP).
Key Responsibilities
- Build and maintain scalable ETL/ELT pipelines. Develop and enhance DBT models and transformations.
- Perform data cleansing, validation, and quality checks. Support cloud-based data engineering workloads (preferably GCP).
- Write optimized SQL queries for analytics and data processing.
- Collaborate with Data Engineers, Analysts, and Architects for requirement understanding.
- Monitor pipeline health, troubleshoot issues, and ensure data reliability.
- Document workflows, models, and mappings.
Required Skills (Must Have)
- Data Modeling understanding (Star/Snowflake).
- Strong SQL skills.
- Hands-on experience with DBT.
- Experience with at least one major cloud platform: GCP (BigQuery, Dataflow, Dataproc, Composer, GCS preferred) OR AWS / Azure equivalent services.
- Experience with data transformation and loading technologies.
- Good knowledge of Python for data tasks.
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