Data Engineer

Experience : 4-7 Years

Key Responsibilities:

Design, develop, and maintain data pipelines and ETL tool ( Informatica ) workflows using GCP-native tools and services.

Build and optimize data warehouses using BigQuery or other DWHs (e.g., Snowflake on GCP, Redshift on GCP).

Write complex and efficient SQL queries for data transformation, analysis, and reporting.

Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions.

Implement data governance, security, and monitoring best practices across GCP projects.

Tune queries and optimize performance of large-scale datasets.

Automate workflows using Cloud Composer (Airflow) or similar orchestration tools. Required Skills & Qualifications:

3+ years of experience in a data engineering or data platform role.

Expert-level skills in SQL able to write optimized, scalable, and complex queries.

Strong experience on ETL Tool ( Informatica )

Strong hands-on experience with Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.

Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse.

Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion.

Experience in Python or similar scripting language for data engineering tasks.

Solid understanding of data governance, privacy, and security in cloud environments.

Thanks & Regards

Prashant Awasthi

Vastika Inc.

1200 West Walnut Hill Lane, Suite# 2200

Irving, TX 75038

[Confidential Information]

Cell 469-359-1422