Analytics Engineer

What role you will play in team: You will be part of a team responsible for building and maintaining data pipelines and infrastructure to support data-driven decision making across the company. You will work closely with Data Scientists and Data Analysts.

What you will do: You will design, develop, and implement efficient and scalable data pipelines. You will also monitor and optimize the performance of existing systems.

Key responsibility:

• Design, develop and maintain data pipelines using tools like Apache Kafka, Spark, and Airflow.
• Develop and maintain data warehouse solutions.
• Develop and implement data quality checks and monitoring processes.
• Troubleshoot and resolve issues in data pipelines and infrastructure.
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  Collaborate with Data Scientists and Data Analysts to meet their data needs.
• Document and communicate technical solutions.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience with big data technologies (e.g., Hadoop, Spark, Hive).
• Experience with data pipeline tools (e.g., Apache Kafka, Airflow).
• Proficiency in SQL and scripting languages (e.g., Python, Shell).
• Strong problem-solving and troubleshooting skills.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.

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Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development.
• Dynamic and collaborative work environment.
• Excellent career growth opportunities.
• Employee Stock Purchase Plan.

A Day in the Life: A typical day may involve building data pipelines, troubleshooting issues, collaborating with other teams, and optimizing data infrastructure.