Job Title : Senior Data Analytics / Data Engineer
Overview
We are seeking a highly skilled Senior Data Analytics / Engineer with strong expertise in Python , Snowflake , Databricks , and SQL to design, build, and optimize our modern data platforms. The ideal candidate will have hands-on experience with DBT Core (highly preferred) and a solid understanding of CI / CD pipelines using GitHub Actions . This role will lead data engineering initiatives, drive best practices, and contribute to high-impact analytics projects across the organization.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and workflows using Python , Snowflake , and Databricks .
- Build and automate ELT / ETL processes leveraging best practices in data modeling and transformation.
- Develop transformation models using DBT Core (preferred) to standardize and streamline data operations.
- Optimize large-scale datasets for performance, reliability, and accessibility.
- Write advanced, high-performance SQL queries for data extraction, transformation, and analysis.
- Implement and manage CI / CD workflows using GitHub Actions for automated testing, deployment, and version control.
- Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions.
- Ensure data integrity, security, and governance across platforms.
- Troubleshoot complex data issues and implement long-term automation and monitoring solutions.
- Stay current with emerging data engineering tools and best practices.
Required Skills & Qualifications
5+ years of experience in Data Engineering or Senior Data Analytics roles.Strong proficiency in Python for data engineering and automation.Hands-on experience working with Snowflake and Databricks environments.Expert-level SQL skills and experience working with large datasets.Experience with DBT Core (highly preferred;strong advantage).
Experience implementing CI / CD pipelines using GitHub Actions .Solid understanding of data warehousing, data modeling (e.G., Kimball, Data Vault), and ETL / ELT principles.Familiarity with cloud platforms such as AWS, Azure, or GCP.Strong problem-solving abilities and ability to work independently in a fast-paced environment.Preferred Qualifications
Experience with infrastructure-as-code or automation tools.Knowledge of testing frameworks for data validation (e.G., Great Expectations).Experience working in an agile environment.