sradmin Position: Snowflake + Databricks Data Engineer (CE50SF RM 4180)
Shift timing : Regular
Work Mode : Work from Office
Relevant Experience required : 5+ years
Education Required : Bachelor’s / Masters / PhD : Bachelor’s degree in Computer Science, Data Science, or a related field
Must have skills:
Snowflake, Databricks, Tableau, Data Warehousing, SQL Query Optimization, dbt (Data Build Tool), AWS Cloud, Linux
Good to have skills:
Snowflake Administration, Apache Airflow, CI/CD for Data Pipelines
Highlights: : We are seeking a Data Engineer with 5–8 years of experience in designing and developing scalable data solutions using Snowflake, Databricks, dbt, and Tableau. The ideal candidate should have strong expertise in Data Warehousing, SQL optimization, AWS, and Linux, with experience building end-to-end data pipelines and enabling business analytics and reporting. Knowledge of Snowflake Administration and Apache Airflow is an added advantage.
Key Responsibilities:
- 5–8 years of experience in Data Engineering with a proven track record of designing, developing, and managing enterprise data solutions.
- Strong experience in designing, developing, and managing scalable data platforms using Snowflake and Databricks.
- Good understanding of AWS Cloud services and Linux environments.
- Hands-on experience in SQL performance tuning and query optimization in Snowflake.
- Experience in designing and implementing Data Warehouse solutions, including dimensional modeling and data marts.
- Experience working with structured and semi-structured data formats such as JSON, CSV, XML, and Excel.
- Experience integrating data platforms with Tableau or other BI/Reporting tools.
- Proficiency with version control systems such as GitHub and collaboration tools like Jira.
- Hands-on experience with dbt (Data Build Tool) for data transformation, modeling, testing, and deployment.
- Excellent analytical, problem-solving, and communication skills.
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