Data Engineer

Cittabase Solutions Pte Ltd; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading technology firm is seeking a Data Engineer in Tamil Nadu. The role involves building scalable data pipelines with GCP tools like BigQuery and Dataflow, and requires strong SQL skills along with knowledge of dbt for data transformations. Ideal candidates should have 4-8 years in data engineering, proficiency in Python or Java, and be able to work with cross-functional teams, particularly in HR analytics domains. Apply directly to [e-mail].

Qualifications

• 4–8 years of experience in data engineering, data warehousing, or analytics engineering roles.
• Strong expertise in SQL and advanced data warehousing topics.
• Hands-on experience with GCP BigQuery, Dataflow, Cloud Composer, and Dataplex.
• Practical experience developing transformations and models in dbt.
• Proficiency in Python or Java for data processing and automation.
• Strong problem-solving skills and communication abilities.

Responsibilities

• Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer.
• Develop ELT transformations and data models using dbt.
• Implement data governance and quality rules through Dataplex.
• Collaborate with cross-functional teams to define data requirements.
• Support CI/CD, monitoring, and troubleshooting of pipelines.

Skills

SQL

Data warehousing concepts

Python

Java

GCP BigQuery

Dataflow

Cloud Composer

Dataplex

dbt

Snowflake

Databricks

HR analytics

Education

4–8 years of experience in data engineering

Job description

We are looking for a Data Engineer with strong expertise in SQL , advanced data warehousing concepts , and programming skills in Python or Java . The role requires hands‑on experience with GCP BigQuery , Dataflow, Cloud Composer , and strong exposure to Dataplex for governance and data management. All transformations are built using dbt , so familiarity with dbt development and best practices is essential. Experience with Snowflake or Databricks is a plus. Understanding of Workday data structures and HR analytics is good to have.

Responsibilities

• Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer .
• Develop ELT transformations and data models using dbt following modular, testable, and governed practices.
• Apply advanced data warehousing techniques, performance optimization, partitioning, clustering, and data modeling patterns.
• Implement data governance, quality rules, lineage, and metadata workflows through Dataplex .
• Develop production‑ready code in Python/Java for orchestration, automation, and data processing.
• Collaborate with analytics, product, and business teams (including HR/Workday domains) to define data requirements.
• Ensure secure, reliable, and cost‑optimized data pipelines aligned to best practices.
• Support CI/CD, monitoring, troubleshooting, and continuous improvement of pipelines and dbt models.

Qualifications

• 4–8 years of experience in data engineering, data warehousing, or analytics engineering roles.
• Strong expertise in SQL and advanced data warehousing topics (modelling, performance tuning, optimization).
• Hands‑on experience with GCP BigQuery, Dataflow, Cloud Composer , and Dataplex .
• Practical experience developing transformations and models in dbt .
• Proficiency in Python or Java for data processing and automation.
• Exposure to Snowflake or Databricks (good to have).
• Understanding of Workday data structures and HR/People Analytics concepts (good to have).
• Strong problem‑solving skills, communication, and ability to collaborate with cross‑functional teams.

Join us and contribute to our innovative projects. Apply directly to [e-mail]