Staff Engineer, Analytics Engineering

Do you have a passion for building innovative data pipelines and transforming raw data into actionable insights? Are you an expert in programming languages like Spark, SQL, and Python, and thrive in a collaborative environment? If so, we want to hear from you!

We are seeking a talented and experienced Analytics/Data Engineer to join our growing team. In this role, you will play a key part in designing, developing, and maintaining the data pipelines that power our organization's data-driven decision making. You will work closely with data scientists, analysts, and other engineers to ensure that our data infrastructure is reliable, scalable, and secure.

• →Design, develop, and maintain scalable and efficient data pipelines using Spark, SQL, and Python
• →Utilize Databricks platform to build and manage data processing workflows
• →Clean, transform, and integrate data from various sources into a unified and consistent format
• →Implement data quality checks and monitoring processes to ensure data accuracy and completeness
• →Collaborate with data scientists and analysts to understand their data needs and develop solutions
• →Document data pipelines and processes using clear and concise language
• →Utilize Git for version control and maintain a clean and collaborative development environment
• →Follow software development best practices, including unit testing, code reviews, and continuous
• →integration/continuous delivery (CI/CD)
• →Stay up to date with the latest advancements in data engineering technologies and best practices.

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Minimum 5 years of experience as a Data Engineer or similar role
• Strong proficiency in SQL, Python, and Spark
• Familiarity with Databricks platform
• Experience with data warehousing and data lakes (e.g., AWS Redshift, Snowflake) is a plus
• Experience with Git and software development best practices (unit testing, code reviews, CI/CD)
• Experience leveraging Gen AI tooling.
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team