Role Overview:

We are seeking a driven and hands-on Data Engineer with 12 to 20 months of experience to support modern data pipeline development and transformation initiatives. The role requires solid technical skills in SQL, Cloud Warehousing, Python, and PySpark, with exposure to cloud platforms such as GCP (GCS, GCC, BQ, Dataflow), dbt (cloud).

As a Data Engineer at Tredence, you will work on migrating, ingesting, processing, and modeling large-scale data, implementing scalable data pipelines / topics / procedures / orchestration workflows, and applying foundational data warehousing principles. This role also includes direct collaboration with cross-functional teams and client stakeholders.

Key Responsibilities:
Develop robust and scalable data pipelines using PySpark in cloud platforms like GCP Databricks Dataflow.
Write optimized SQL queries for data transformation, analysis, and validation.
Implement and support data warehouse models and principles, including:
Fact and Dimension modeling
Star and Snowflake schemas
Slowly Changing Dimensions (SCD)
Change Data Capture (CDC)
Audit Trails
Data Quality Rules
Medallion Architecture
Monitor,



troubleshoot, and improve pipeline performance and data quality.
Work with teams across analytics, business, and IT functions to deliver data-driven solutions.
Communicate technical updates and contribute to sprint-level delivery.

Mandatory Skills:
Solid hands-on experience with SQL and Python
Working knowledge of PySpark for data transformation
Exposure to GCP (GCS, GCC, BQ, Dataflow)
Exposure to dbt (cloud / core)
Good understanding of data engineering and warehousing fundamentals
Good understanding of SQL strategies: merge, append, CTEs
Excellent debugging and problem-solving skills
Solid written and verbal communication skills

Preferred Skills:
Experience working with GCP GCC (Airflow), dbt
Familiarity with data orchestration tools like Airflow (GCC)
Exposure to CI/CD processes and version control (e.g., Git)
Understanding of Agile/Scrum methodology and cooperative development
Basic knowledge of handling structured and semi-structured data (JSON, Parquet, etc.)

📌 Gcp Data Engineer Kolkata
🏢 Tredence
📍 Kolkata