Data Engineer

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

Job summary

CodeRound AI in India is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role ensures reliable data for analytics, ML and BI use cases.

You will collaborate with data scientists and analysts, enforce governance and security, and optimize data workflows for performance and cost. Hands-on with big data tools and cloud platforms is required.

Qualifications

• 3+ years of data engineering experience.
• Strong SQL and Python/Scala skills.
• Experience with ETL/ELT pipelines and data warehousing.
• Hands-on experience with Spark and Hadoop.
• Experience with cloud data platforms (AWS/GCP/Azure).
• Knowledge of data modeling and schema design.
• Experience with workflow orchestration tools (Airflow).

Responsibilities

• Design and develop scalable data pipelines.
• Build and maintain data infrastructure and architecture.
• Ensure data quality, integrity, and reliability.
• Optimize data workflows for performance and cost.
• Collaborate with data scientists and analysts.
• Implement data governance and security standards.
• Monitor and troubleshoot data systems.

Skills

Senior data engineering

SQL

Python/Scala

ETL/ELT pipelines

Data warehousing

Big data tools

Cloud platforms

Data modeling

Airflow

Tools

Spark

Hadoop

Airflow

Snowflake

BigQuery

Redshift

Tableau

Looker

Kafka

Flink

Job description

Job Description:

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure. This role ensures reliable data availability for analytics, machine learning, and business intelligence use cases.

What You'll Do

• Design and develop scalable data pipelines
• Build and maintain data infrastructure and architecture
• Ensure data quality, integrity, and reliability
• Optimize data workflows for performance and cost
• Collaborate with data scientists and analysts
• Implement data governance and security standards
• Monitor and troubleshoot data systems

Must have

• 3+ years of experience in data engineering
• Strong SQL and Python/Scala skills
• Experience with ETL/ELT pipelines and data warehousing
• Hands-on experience with big data tools (Spark, Hadoop)
• Experience with cloud data platforms (AWS/GCP/Azure)
• Knowledge of data modeling and schema design
• Experience with workflow orchestration tools (Airflow, etc.)

Good to have

• Experience with real-time streaming (Kafka, Flink)
• Exposure to machine learning pipelines
• Knowledge of data governance and security best practices
• Experience with modern data stack (Snowflake, BigQuery, Redshift)
• Understanding of BI tools (Tableau, Looker, etc.)