Senior Data Analytics / Data Engineer

Role Overview: You will be responsible for designing, building, and optimizing modern data platforms as a Senior Data Analytics/Engineer. Your expertise in Python, Snowflake, Databricks, and SQL will be crucial for leading data engineering initiatives and contributing to high-impact analytics projects. You will also play a key role in driving best practices 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 while following best practices in data modeling and transformation. - Develop transformation models with DBT Core 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 updated with emerging data engineering tools and best practices. Qualification Required: - 5+ years of experience in Data Engineering or Senior Data Analytics roles. - Strong proficiency in Python for data engineering and automation. - Hands-on experience with Snowflake and Databricks environments. - Expert-level SQL skills and experience working with large datasets. - Experience with DBT Core (highly preferred). - Experience in 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 like AWS, Azure, or GCP. - Strong problem-solving abilities and capability 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.,