Data Engineer

Smart Source; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Smart Source in Chennai is seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure to support BI, analytics, and data-driven decision making.

The ideal candidate has 3+ years of experience, strong programming skills in Python/SQL, and hands-on experience with Spark, Hadoop, Kafka, or Flink, plus cloud platform knowledge (AWS/Azure/GCP).

Qualifications

• 3+ years of experience in data engineering.
• Experience building ETL pipelines and data warehouses.
• Knowledge of data modeling and data governance is beneficial.
• Cloud platform knowledge (AWS, Azure, GCP) is advantageous.

Responsibilities

• Build and maintain ETL pipelines and data warehouses.
• Develop scalable data models and optimize data processing.
• Work closely with data scientists, analysts, and engineering teams.
• Ensure data quality, security, and governance standards.
• Monitor and troubleshoot data systems for performance improvements.
• Implement cloud-based data engineering solutions.

Skills

Python

SQL

Java

Scala

Tools

Apache Spark

Hadoop

Kafka

Flink

Job description

Hiring: Data Engineer (Immediate Joiners only)
Location: Chennai
Experience: 3+ Years
Employment Type: Full Time

We are looking for a skilled and passionate Data Engineer to join our growing technology team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure to support business intelligence, analytics, and data-driven decision-making.

Key Responsibilities

• Build and maintain ETL pipelines and data warehouses
• Develop scalable data models and optimize data processing
• Work closely with data scientists, analysts, and engineering teams
• Ensure data quality, security, and governance standards
• Monitor and troubleshoot data systems for performance improvements
• Implement cloud-based data engineering solutions

Required Skills

• Strong experience in Python, SQL, Java, or Scala
• Hands-on experience with Apache Spark, Hadoop, Kafka, or Flink
• Knowledge of AWS, Azure, or GCP cloud platforms
• Understanding of data warehousing and data modeling concepts
• Excellent analytical and problem-solving skills