Data Engineer

V3 Staffing; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,400,000 - 2,200,000; Full time

Job summary

V3 Staffing is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines, work with cloud platforms, and ensure data quality for analytics. The role emphasizes collaboration with cross-functional teams and mentoring junior engineers.

The position targets professionals with strong SQL, Python/PySpark, and cloud data platform experience across warehousing and governance tasks. Face-to-face interview in Hyderabad; multiple city locations listed.

Qualifications

• 4-10 years of relevant experience in Data Engineering or related field.
• Advanced SQL with joins, CTEs, window functions, and optimization.
• Hands-on Python and/or PySpark for data transformation and processing.
• End-to-end ETL/ELT pipelines experience.
• Hands-on expertise in at least one cloud data platform (AWS, GCP, or Azure) and its warehouse/lake services.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data.
• Write and optimize SQL for data extraction, transformation, validation, and reporting.
• Build and maintain data models, warehouses, and semantic layers for analytics.
• Work with cloud data platforms to enhance processing, storage, and scalability.
• Automate and orchestrate end-to-end data workflows using tools like Airflow, dbt, Cloud Composer, Data Factory.
• Collaborate with Data Architects, Data Scientists, Analysts, and stakeholders.
• Perform data validation, reconciliation, and quality checks.
• Document pipelines, schemas, and processes for knowledge sharing.
• Troubleshoot failures and performance bottlenecks; mentor junior engineers.

Skills

Data engineering

SQL

Python/PySpark

ETL/ELT pipelines

Airflow

dbt

Cloud platforms

Snowflake

BigQuery

Databricks

Microsoft Fabric

Cloud Composer

Data Factory

AWS

GCP

Azure

Tools

Airflow

dbt

Cloud Composer

Data Factory

Snowflake

BigQuery

Databricks

Microsoft Fabric

Job description

Greetings of the day!

We have exciting permanent job opportunity with one of our client, a leading Data Analytics company.

Note: Please dont apply if your notice period is 60 or 90 days

Job Location: Bangalore,Chennai,Gurgaon

F2F interview location: Hyderabad on (19th sep 2026)Saturday

Role & responsibilities

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data
• Write and optimize advanced SQL queries for data extraction, transformation, validation, and reporting
• Build and maintain data models, warehouses, and semantic layers to support analytics, reporting, and
• Work with cloud data platforms and services to enhance data processing, storage, and scalability
• Automate and orchestrate end-to-end data workflows using tools such as Airflow, dbt, Cloud
• Collaborate with cross-functional stakeholders Data Architects, Data Scientists, Analysts, and
• Perform data validation, reconciliation, and quality checks to ensure accuracy, consistency, and
• Document data pipelines, schemas, and technical processes to support knowledge sharing and
• Troubleshoot pipeline failures, performance bottlenecks, and data quality anomalies
• Mentor junior engineers and contribute to best practices, code reviews, and continuous improvement

from diverse sources

downstream consumption

Composer, or Data Factory

business teams to translate requirements into technical solutions

governance across pipelines

maintainability

(scope matched to seniority)

Skills & Experience

• 4-10 years of relevant experience in Data Engineering, Data Pipeline Development, or a related field
• Advanced SQL complex joins, CTEs, window functions, and query performance optimization
• Hands-on proficiency in Python and/or PySpark for data transformation, automation, and processing
• Proven experience building and maintaining ETL/ELT pipelines end-to-end
• Hands-on expertise in at least one cloud data platform (AWS, GCP, or Azure) and its associated

warehouse/lake service (Snowflake, BigQuery, Databricks, or Microsoft Fabric)

• Experience with workflow orchestration tools (Airflow, dbt, Cloud Composer, Data Factory, or similar)
• Strong problem-solving skills and the ability to collaborate effectively with technical and non-technical

stakeholders.