Data Engineer

Carrerlift; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Carrerlift in India is seeking a data engineer to build and maintain data pipelines that ingest, process and store information at scale. You will design systems that transform raw data into analysis-ready formats and collaborate with analytics teams to understand data requirements.

The role focuses on setting up ETL, cleaning and validating data from multiple sources, creating data models, and documenting data flows.

Qualifications

• Proficient in Python/Java/Scala with strong data handling.
• Solid SQL experience with relational and NoSQL databases.
• Hands-on with cloud platforms (AWS/Azure/GCP).
• Strong problem-solving and attention to detail on large datasets.
• Able to work in agile teams and communicate technical concepts clearly.

Responsibilities

• Build and maintain data pipelines that ingest, process and store information at scale.
• Design systems that transform raw data into formats for analysis and reporting.
• Optimize data workflows for reliability, speed and cost efficiency.
• Collaborate with analytics and business teams to understand data requirements.
• Monitor data quality and implement checks to catch issues early.

Skills

Python

Java

Scala

SQL

AWS

Azure

GCP

Agile

Data modeling

Tools

NoSQL databases

Relational databases

Job description

Batch: 2021/2022/2023/2024.

About the role

• Build and maintain data pipelines that ingest, process and store information at scale
• Design systems that transform raw data into formats ready for analysis and reporting
• Optimize data workflows to ensure reliability, speed and cost efficiency
• Collaborate with analytics and business teams to understand data requirements
• Monitor data quality and implement checks to catch issues early

What you'll work on

• Setting up ETL processes using tools and frameworks suited to high-volume data environments
• Writing code to clean, validate and restructure data from multiple sources
• Creating data models and schemas that support downstream analytics use cases
• Troubleshooting pipeline failures and performance bottlenecks
• Documenting data flows and maintaining runbooks for operational handoffs

What we're looking for

• Strong programming skills in languages like Python, Java or Scala
• Experience with SQL and relational or NoSQL databases
• Familiarity with cloud platforms such as AWS, Azure or GCP
• Problem-solving ability and attention to detail in handling large datasets
• Ability to work in agile teams and communicate technical concepts clearly