
Data Engineer
4 days ago
About The Role
We are looking for a skilled Data Engineer with hands-on experience in Data Build Tool (dbt) to join our growing data team. You will play a key role in transforming raw data into actionable insights by building reliable and scalable data pipelines and models. The ideal candidate is passionate about data quality, analytics engineering, and has a strong foundation in SQL and modern data warehousing technologies.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using dbt and SQL.
- Develop, test, and deploy modular, reusable data models in dbt to support analytics and reporting needs.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
- Optimize data workflows for performance, reliability, and cost-efficiency on cloud data
platforms (e.g., Snowflake, BigQuery, Redshift).
- Implement best practices for data quality, version control (Git), and documentation within dbt projects.
- Monitor pipeline performance and troubleshoot data issues proactively.
- Stay current with industry trends and evolving best practices in data engineering and analytics engineering.
Required Skills & Qualifications
- Proven experience as a Data Engineer or Analytics Engineer, preferably with a focus on dbt.
- Strong proficiency in SQL and experience writing complex queries.
- Hands-on experience with dbt : building models, tests, macros, snapshots, and
documentation.
- Familiarity with cloud data warehouses such as Snowflake, Google BigQuery, or AWS Redshift.
- Understanding of ELT/ETL processes and data pipeline orchestration.
- Experience with version control tools (Git) and CI/CD pipelines.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to work collaboratively in cross-functional teams.
Preferred Qualifications
- Experience with Python or other scripting languages for data engineering tasks.
- Knowledge of data visualization tools (Looker, Tableau, etc.).
- Familiarity with data governance and security best practices.
- Experience working in Agile development environments.
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