Data Engineer

Job Title: Data Engineer

Experience:

About 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.com

Role Overview

Data Engineer

As a Data Engineer at Tredence, you will work on ingesting, processing, and modeling large-scale data, implementing scalable data pipelines, 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

  Azure Databricks

  or

  GCP 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)
• 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 at least one cloud platform:

  Azure

  or

  GCP

  .
• Good understanding of data engineering and warehousing fundamentals
• Excellent debugging and problem-solving skills
• Strong written and verbal communication skills

Preferred Skills

• Experience working with

  Databricks Community Edition

  or enterprise version
• Familiarity with data orchestration tools like

  Airflow

  or

  Azure Data Factory

• 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.)