Data Engineering : Intern

We are a Google Partner Agency & Google Tag Manager Certified Partner that believes that when the right set of people forms a team they can achieve formidable things. India s Digital industry is going to grow 10-fold in the next 5 years and we intend to play a strong role in that growth. If you think you have the potential to pace up with a fast growth process driven organization, we are waiting to hear from you.

Are you passionate about data and eager to kickstart your career in data engineeringJoin our team and gain hands-on experience working with cutting-edge technologies!

- Assist in designing and building ETL/ELT pipelines to ingest, process, and transform data from various sources (e.g., GA4, CRM, APIs).

- Work with tools like Apache Beam, Dataflow, or Airflow to automate data workflows.

- Help migrate client data (e.g., GA4, website analytics) to Google Cloud Platform (GCP) using services like BigQuery, Cloud Storage, and Dataflow.

- Optimize data storage and query performance in BigQuery.

- Collaborate with the team to design and implement data models for analytics and reporting.

- Optimize SQL queries and data structures for performance and scalability.

- Implement data validation and quality checks to ensure accuracy and consistency.

- Set up monitoring and alerting for data pipelines using tools like Cloud Logging and Cloud Monitoring.

- Work with cross-functional teams (analytics, marketing, cloud engineering) to deliver data solutions.

- Document data pipelines, processes, and best practices for internal and client use.

- Stay updated on the latest trends in data engineering, cloud technologies, and analytics.

- Participate in training sessions and workshops to enhance your technical skills.

- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.

- Basic understanding of SQL and Python/R (or similar programming languages).

- Familiarity with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure is a plus.

- Interest in data engineering, ETL processes, and cloud technologies.

- Strong problem-solving skills and attention to detail.

- Good communication skills and ability to work in a team.

- Experience with BigQuery, Dataflow, or other GCP services.

- Knowledge of data visualization tools like Looker Studio or Tableau.

- Exposure to version control systems like Git.

- Understanding of data governance and security best practices.