Data Engineer

4+ years of experience in Data / ETL Engineering, as well as Data / ETL Architecture and pipeline development with a minimum of 1 year of working experience as Google Cloud Platform (GCP) developer.

Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google’s BigQuery .

Experience with the primary managed data services within GCP, including DataProc , Dataflow, BigQuery etc.

Proficiency in SQL, DBT, Python (Apache Airflow, Composer) and hands-on experience with ETL tools like Talend, Fivetran or similar.

Proficiency in Git for version control

Experience with DBT for data transformation.

Proven experience in high-quality designing, building and maintaining ETL processes, automated data quality checks and reusable ETL components .

Familiarity with Data Lake and Data Warehousing concepts and Data Modelling techniques.

Familiarity with concepts like star schema, snowflake schema, standardization, normalization, fact and dimension tables.

Strong problem-solving skills and the ability to work independently as well as collaboratively.

Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.

Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience.

A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together , collaborating remotely and in-person to empower our teams to work in the ways that work best for them.

Learn more about the people behind our products at –

LinkedIn Page Applied Systems India

https://www1.appliedsystems.com/en-us/about-us/jobs/

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