Data Engineer
2 weeks ago
Role Summary:
We are seeking an experienced Data Engineer (4-8 years) with hands-on expertise in Snowflake, Azure Synapse Analytics, advanced SQL query development, and DevOps-driven object deployment automation. The role involves designing robust data pipelines, optimizing data warehouse performance, and enabling CI/CD for database objects using Jenkins or Azure DevOps.
Responsibilities:
- Design, build, and maintain scalable data pipelines on Snowflake and Azure Synapse Analytics for structured and semi-structured data.
- Develop, optimize, and troubleshoot complex SQL queries for ETL, aggregation, and reporting tasks across Snowflake and Synapse.
- Implement automated CI/CD pipelines for Snowflake object deployment (tables, views, stored procedures, UDFs) using Jenkins or Azure DevOps, integrating version control (Git/TFS).
- Collaborate with data architects, analysts, and business users to understand requirements and deliver effective data solutions and technical documentation.
- Perform data modeling, schema design, and performance tuning in Snowflake.
- Ensure quality, reliability, and security of deployed data solutions following DevOps and DataOps best practices.
- Monitor, troubleshoot, and resolve production issues related to data pipelines and database deployments.
- Contribute to process improvements, automation, and adoption of new cloud technologies and frameworks.
Required Skills:
- 4-8 years of hands-on experience in Data Engineering or equivalent roles.
- Deep expertise with Snowflake cloud data warehouse (data ingestion, scripting, performance tuning, integration).
- Solid experience with Azure Synapse Analytics environment (data pipelines, orchestration, analytics).
- Advanced proficiency in SQL (data manipulation, aggregation, transformations).
- Proven ability to implement and manage DevOps CI/CD workflows for Snowflake object deployments, using Jenkins or Azure DevOps.
- Experience with code/version management tools such as Git or TFS.
- Familiarity with infrastructure as code and environment automation in cloud platforms.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and in cross-functional teams.
Preferred Skills:
- Experience with Python or JavaScript for ETL workflows and Snowflake stored procedures.
- Knowledge of best practices in data governance, security, and compliance (RBAC, masking).
- Exposure to other BI/ETL tools and cloud services (Databricks, Airflow, Power BI).
- Certification in Snowflake, Azure, or relevant cloud data technologies is a plus.
Qualification:
- Bachelors Degree in Computer Science, Engineering, or related technical field.
- Relevant certifications are advantageous.
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