Delta System & Software, Inc.
Website:
deltassi.com
Job details:
Snowflake Databricks Developer
Employment Type: Full-Time
Location preference -
- Lucknow - Work from office - 3 to 4 days from office
- Noida - Work from office - 3 to 4 days from office
- Pan India – WFH (Remote)
Shift time: 01:30pm to 10:30pm IST
Experience: 5+ Years on Snowflake (10+ Years of IT)
Job Summary
We are seeking a skilled Snowflake & Databricks Developer to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate should have strong expertise in Snowflake, Databricks, Spark, SQL, and cloud data engineering concepts. The role involves building data pipelines, optimizing data processing workflows, and supporting enterprise analytics and reporting initiatives.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Snowflake and Databricks.
- Develop and optimize data transformation workflows using PySpark, Spark SQL, and SQL.
- Build and manage data ingestion processes from multiple structured and unstructured data sources.
- Develop data models, staging layers, and dimensional schemas for analytics and reporting.
- Optimize Snowflake queries, virtual warehouses, and storage utilization for performance and cost efficiency.
- Develop and maintain Databricks notebooks, jobs, workflows, and cluster configurations.
- Implement Delta Lake architecture and manage large-scale data processing.
- Collaborate with Data Architects, BI teams, and business stakeholders to understand data requirements.
- Troubleshoot and resolve data pipeline and performance issues.
- Ensure data quality, governance, security, and compliance standards are maintained.
- Integrate Snowflake and Databricks with cloud platforms such as AWS, Azure, or GCP.
- Support CI/CD deployments and automation for data engineering workflows.
- Maintain technical documentation and best practices for data solutions.
Required Skills
- Strong hands-on experience with Snowflake development.
- Strong experience with Databricks and Apache Spark.
- Proficiency in SQL, PySpark, and Python.
- Experience building ETL/ELT pipelines and data transformation frameworks.
- Knowledge of Delta Lake and Lakehouse architecture.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Good understanding of data warehousing and data modeling concepts.
- Familiarity with orchestration tools such as Airflow, ADF, or Jenkins.
- Strong debugging, performance tuning, and optimization skills.
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