Responsibilities

- Establish scalable, efficient, automated processes for data analysis, data model development, validation, and implementation.

- Work closely with analysts/data scientists to understand impact to the downstream data models.

- Write efficient and well-organized software to ship products in an iterative, continual release environment.

- Contribute to and promote good software engineering practices across the team

- Communicate clearly and effectively to technical and non-technical audiences.

Minimum Qualifications

- University or advanced degree in engineering, computer science, mathematics, or a related field

- Strong hands-on experience in Databricks using PySpark and Spark SQL (Unity Catalog, workflows, Optimization techniques)

- Experience with at least one cloud provider solution (GCP preferred)

- Strong experience working with relational SQL databases.

- Strong experience with object-oriented/object function scripting language: Python.

- Working knowledge in any transformation tools, DBT preferred.

- Ability to work with Linux platform.

- Strong knowledge of data pipeline and workflow management tools (Airflow)

- Working knowledge of Git hub /Git Toolkit

- Expertise in standard software engineering methodology, e.g. unit testing, code reviews, design documentation

- Experience creating Data pipelines that prepare data for ingestion & consumption appropriately.

- Experience in maintaining and optimizing databases/filesystems for production usage in reporting, analytics.

- Working in a collaborative setting and interacting effectively with technical and non-technical team members equally well.



Good verbal and written communication skills.

Qualifications & Skills

- University or advanced degree in engineering, computer science, mathematics, or a related field

- 10+ years' experience developing and deploying data pipelines both batch and streaming into production.

- Strong experience working with a variety of relational SQL and NoSQL databases.

- Extensive experience with the cloud-native data services of Google Cloud Platform (BigQuery, Vertex AI, Pub/Sub, Cloud Functions, etc.).

- Deep expertise in one of the popular data warehousing tools such as Snowflake, Big Query, RedShift, etc

- Hands-on experience with dbt (Data Build Tool) for data transformation

- Experience working with big data tools and frameworks such as Hadoop, Spark, Kafka, etc. Familiarity with Databricks is a plus.

- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

- Hands-on experience in the Data engineering Spectrum, e.g. developing metadata-based framework-based solutions for Ingestion, Processing, etc., building Data Lake/Lake House solutions.

- Strong knowledge of Apache Airflow for orchestration and workflow management.

- Working knowledge of Github /Git Toolkit.

- Experience with providing operational support to stakeholders.

- Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation.

- Experience working with CI/CD pipelines using Jenkins and Github Actions.

- Experience with data visualization using Tableau, PowerBI, Looker or similar tools is a plus

📌 Gcp Data Engineer (Bengaluru)
🏢 Purview Services
📍 Bengaluru