Job Description

Responsibilities

Design, create, code, and support a variety of data pipelines and models on GCP cloud technology
Strong hand-on exposure to GCP services like BigQuery, Composer etc.
Partner with business/data analysts, architects, and other key project stakeholders to deliver data requirements.
Developing data integration and ETL (Extract, Transform, Load) processes.
Support existing Data warehouses & related pipelines.
Ensuring data quality, security, and compliance.
Optimizing data processing and storage efficiency, troubleshoot issues in Data space.
Seeks to learn new skills/tools utilized in Data space (ex: dbt, MonteCarlo etc.)
Excellent communication skills- verbal and written, Excellent analytical skills with Agile mindset.
Demonstrates strong affinity towards paying attention to details and delivery accuracy.
Self-motivated team player and should have ability to overcome challenges and achieve desired results.
Work effectively in Global distributed environment.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
3–5+ years of hands-on experience in Data Engineering or Data Warehousing roles.
At least 2 years specifically focused on Google Cloud Platform (GCP).
Expert-level knowledge of BigQuery (SQL, optimization, partitioning) and Cloud Composer (Apache Airflow) for orchestration.
Proficiency in Python (specifically for ETL and Airflow DAGs) and advanced SQL.
Strong experience in designing Star/Snowflake schemas and dimensional modeling.
Proven track record of building and maintaining scalable data pipelines and managing data integration from diverse sources.
Experience implementing data validation, cleansing, and security protocols (IAM, encryption).