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Senior Data Engineer
2 months ago
Job Title: Senior Data Engineer (Snowflake + DBT)
Location: Kochi
Job Type: Full-Time
Job Summary:
We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake and DBT to join our growing data engineering team. The ideal candidate will have at least 6+ years of experience in data engineering, data modeling, and data pipeline development. This role requires advanced knowledge of building data solutions, optimizing data workflows, and collaborating with cross-functional teams to enable data-driven decision-making.
Key Responsibilities:
- Data Architecture & Design:
- Design and implement scalable and efficient data pipelines using Snowflake and DBT.
- Develop data models, warehouses, and marts to support business intelligence and analytics initiatives.
- Optimize and manage the performance of the data architecture, ensuring low-latency data retrieval and storage.
- ETL/ELT Development:
- Build and maintain robust ETL/ELT processes using DBT and Snowflake.
- Work with large datasets and build data transformation layers for effective analysis.
- Write clean, efficient, and reusable SQL queries in DBT to transform data.
- Data Governance & Quality:
- Ensure data integrity and accuracy across all pipelines.
- Implement data quality checks, validation, and monitoring using DBT.
- Work with stakeholders to define data governance best practices.
- Collaboration:
- Collaborate with data analysts, data scientists, and business teams to ensure alignment of data solutions with business needs.
- Provide technical leadership and mentoring to junior data engineers and analysts.
Qualifications:
- Experience:
- Minimum of 6+ years of experience in data engineering, with a focus on building data solutions at scale.
- 3+ years of hands-on experience working with Snowflake.
- 2+ years of experience using DBT (Data Build Tool) for data transformation.
- Technical Skills:
- Strong SQL skills and experience with database optimization.
- Proficient in using Snowflake for data warehousing and modeling.
- Experience with cloud platforms (AWS, GCP, Azure) and integrating cloud-based data services.
- Experience in building and deploying ETL/ELT pipelines.
- Understanding of data warehousing principles and dimensional modeling.
- Knowledge of version control systems (Git).
- Other:
- Strong communication and collaboration skills.
- Ability to work in a fast-paced, agile environment.
- Excellent problem-solving and analytical skills.
Preferred Qualifications:
- Experience with Python or other scripting languages.
- Familiarity with orchestration tools like Airflow or Prefect.
- Experience in data visualization tools like Tableau, Power BI, or Looker.