Senior Data Engineer

Overview

An experienced Senior Data Engineer responsible for designing, implementing, and managing data infrastructure that supports data analytics and business intelligence initiatives.

What you'll do

• Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Develop and manage the data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Use Databricks and Python to process and transform large volumes of data efficiently.
• Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide high-quality data.
• Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• Integrate data with the Anaplan platform to support connected financial and operational business planning.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Nice to have

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Details

• Location: Gurugram, India.