Senior Data Engineer

Description :

Job Title : Data Engineer (DBT | SQL | Airbyte)

Experience : 3+ Years

Employment Type : Full-Time

Job Summary :

We are looking for a skilled Data Engineer with strong hands-on experience in DBT, SQL, and Airbyte to design, build, and maintain scalable data pipelines and analytics-ready data models. The ideal candidate will work closely with analytics, product, and business teams to ensure reliable, high-quality data across the organization.

Key Responsibilities :

- Design, develop, and maintain ELT data pipelines using Airbyte for data ingestion from multiple sources.

- Build and manage analytics engineering workflows using DBT, including models, tests,

documentation, and version control.

- Write complex and optimized SQL queries for data transformation, aggregation, and

performance tuning.

- Implement data quality checks, tests, and monitoring to ensure data accuracy and reliability.

- Develop dimensional and analytical data models (fact and dimension tables) aligned with

business requirements.

- Collaborate with data analysts, BI teams, and stakeholders to translate business needs into scalable data solutions.

- Optimize pipeline performance and ensure efficient resource utilization.

- Maintain proper documentation for data models, pipelines, and processes.

- Participate in code reviews and follow best practices for data engineering and analytics engineering.

Required Skills & Qualifications :

- 3+ years of experience in Data Engineering or Analytics Engineering.

- Strong expertise in SQL (complex joins, CTEs, window functions, query optimization).

- Hands-on experience with DBT (models, macros, tests, snapshots, documentation).

- Practical experience using Airbyte for data ingestion and pipeline orchestration.

- Solid understanding of ELT architectures and modern data stack concepts.

- Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar).

- Familiarity with Git/version control and collaborative development workflows.

- Strong problem-solving and analytical skills.

Good to Have (Preferred Skills) :

- Experience with cloud platforms (AWS, GCP, or Azure).

- Exposure to BI tools (Tableau, Power BI, Looker, etc.).

- Knowledge of Python for data processing or automation.

- Understanding of data governance, security, and access controls.

- Experience with CI/CD for data pipelines.

What We Offer :

- Opportunity to work with a modern data stack.

- Collaborative and growth-oriented work environment.

- Competitive compensation and benefits.

- Exposure to real-world, high-impact data projects.