Senior Data Analytics / Data Engineer

Job Title: Senior Data Analytics / Data Engineer

Overview

Senior Data Analytics/Engineer

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.