Data Engineer

Willwaretech; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading technology consulting firm is looking for a Data Engineer skilled in Azure, AWS, or GCP. In this mid-senior level role, you will build and manage data pipelines, ensuring data reliability and scalability. Required skills include strong Python and SQL knowledge, along with hands-on experience in data pipelines and cloud platforms. The company offers a hybrid working modality and is seeking candidates with at least 4 years of relevant experience. Join us to ensure data-driven decisions and support analytics teams.

Qualifications

• 4+ years of experience in Data Engineering or related roles.
• Hands-on experience in data pipeline development.
• Basic understanding of streaming technologies is a plus.

Responsibilities

• Build batch and real-time data pipelines to move data.
• Develop and maintain ETL / ELT processes for data transformation.
• Work on cloud-native services in AWS, GCP, or Azure.
• Design and support data lakes and data warehouses.
• Ensure data quality and performance of pipelines.
• Collaborate with BI, Analytics, and Data Science teams.

Skills

Python

SQL

AWS

GCP

Azure

Spark

Databricks

Snowflake

Redshift

BigQuery

Synapse

Education

Bachelor’s degree in Computer Science or equivalent

Tools

ETL / ELT

Job description

Role: Data Engineer (Azure/AWS/GCP)

Location: Bangalore, Mumbai, Hyderabad, NCR Delhi, Pune, Chennai, Noida, Gurugram, Kolkata

Experience: 4+ Yrs

Work Mode: Hybrid

Job Title: Data Engineer

Role Overview

A Data Engineer is responsible for building and managing data pipelines that collect, process, and store data from different sources. This role ensures data is reliable, scalable, and ready for analytics using cloud platforms like AWS, GCP, or Azure.

Key Responsibilities (Explained Briefly)

• Build batch and real-time data pipelines to move data from source systems to data lakes/warehouses
• Develop and maintain ETL / ELT processes for data transformation
• Work on cloud-native services in AWS, GCP, or Azure
• Design and support data lakes and data warehouses for reporting and analytics
• Ensure data quality, performance, and monitoring of pipelines
• Collaborate with BI, Analytics, and Data Science teams to support business needs

Required Skills (What We Expect)

• Strong Python and SQL for data processing
• Experience with one cloud platform (AWS / GCP / Azure)
• Hands‑on experience in data pipeline development
• Working knowledge of Spark / Databricks
• Experience with data warehouses like Snowflake, Redshift, BigQuery, or Synapse
• Basic understanding of streaming technologies is a plus

Experience & Education

• 4+ years of experience in Data Engineering or related roles
• Bachelor’s degree in Computer Science or equivalent

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting