
ETL Developer
7 days ago
Job Title :
ETL Developer
Experience Required :
5 - 7 Years
Location :
Remote
Employment Type :
Full-time
Job Summary
We are seeking an experienced ETL Developer with 57 years of strong expertise in designing, building, and maintaining scalable data pipelines. The ideal candidate should have at least 3+ years of hands-on experience with ETL tools, advanced SQL, and DBT (Data Build Tool) to transform, model, and deliver high-quality data for business and analytics needs.
Key Responsibilities
- Design, develop, and optimize ETL pipelines to ingest, transform, and load structured/unstructured data from multiple sources.
- Build and maintain data models and transformations using DBT to ensure accuracy, reusability, and scalability.
- Write, optimize, and debug complex SQL queries, stored procedures, and database objects for data transformation and validation.
- Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.
- Implement data quality checks, monitoring, and validation processes to ensure integrity and reliability of datasets.
- Work with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (Snowflake, Redshift, BigQuery, etc.) for data integration and transformation.
- Ensure best practices in data governance, version control (Git), and CI/CD pipelines for data workflows.
- Troubleshoot ETL performance issues and perform root cause analysis to ensure data pipeline efficiency.
Required Skills & Qualifications
- 5- 7 years of total experience in ETL development and data engineering.
- Minimum 3 years of hands-on experience in :
- ETL tools/processes (designing and developing pipelines).
- Advanced SQL (query optimization, joins, CTEs, performance tuning).
- DBT (Data Build Tool) for data modeling and transformation.
- Strong understanding of data warehouse concepts, star/snowflake schema, and dimensional modeling.
- Experience with cloud data platforms (AWS Redshift, Snowflake, GCP BigQuery, or Azure Synapse).
- Good knowledge of Python or scripting languages for automation is a plus.
- Familiarity with Git, CI/CD, and Agile methodologies.
- Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
- Exposure to Airflow or similar orchestration tools.
- Experience with data quality frameworks and monitoring solutions.
- Knowledge of business intelligence (BI) tools like Tableau, Power BI, or Looker.
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