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Gcp Data Engineer @ Tredence

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 Gcp Data Engineer

Job Description


Job Title: Data Engineer
Experience: 1-2 years
Work Mode: Work from Office
Locations: KolkataAbout Tredence
Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Headquartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and Southeast Asia.
Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees.
Visit our website for more details: https://www.tredence.comRole 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

  • Strong 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
  • Strong 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 collaborative development
  • Basic knowledge of handling structured and semi-structured data (JSON, Parquet, etc.)

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Tredence
Location(s): Pune

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Keyskills:   GCC GCS Bigquery Data Flow

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Tredence

Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The last mileis the gap between insight creation and value realization.Headquartered in San Jose, the company embraces a vertical-first approach and an ou

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