Live opening · Posted 3 days ago
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About the role
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Location: Mumbai, Maharashtra
Experience: 5+ Years
Employment Type: Full-Time
Work Mode: On-site
Job Level: Individual Contributor
About the Role
We are looking for a Senior Data Engineer to design, develop, and implement scalable, real-time and batch data integration pipelines.
The role will focus on connecting and harmonizing data across diverse ERP systems, using event-driven architectures to enable high-throughput, low-latency, and reliable data movement across enterprise platforms.
Key Responsibilities
Design, build, and deploy scalable real-time and batch data pipelines integrating multiple ERP systems with downstream data platforms and data lakes.
Build event-driven data processing systems using Apache Kafka, Kafka Connect, Kafka Streams, or Apache Flink.
Work with Change Data Capture (CDC) and transactional data at scale.
Develop resilient microservices and integration layers using Java and Spring Boot.
Build and manage containerized applications using Docker and Kubernetes.
Design and optimize databases across PostgreSQL, MySQL, SQL Server, and Oracle.
Develop and maintain Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
Build and manage automated CI/CD pipelines using GitHub Actions.
Implement monitoring, logging, tracing, alerting, and observability using tools such as DataDog, New Relic, or Splunk.
Collaborate with cross-functional IT and engineering teams and independently drive technical solutions.
Required Skills & Experience
5+ years of hands-on experience in software/data engineering.
Strong proficiency in Java and Spring Boot.
Strong programming experience with Python.
Hands-on experience with Apache Kafka and Kafka Connect.
Experience with Kafka Streams or Apache Flink.
Strong understanding of CDC and event-driven architectures.
Hands-on experience with Docker and Kubernetes.
Strong knowledge of relational databases and query optimization.
Experience with PostgreSQL, MySQL, SQL Server, or Oracle.
Hands-on experience deploying applications and data workloads on AWS.
Experience with Terraform or AWS CloudFormation.
Experience managing CI/CD workflows using GitHub Actions.
Advanced proficiency with Git and collaborative development workflows.
Experience with production monitoring and observability tools such as DataDog, New Relic, or Splunk.
Education
Bachelor's degree in Computer Science, Information Technology, or a related technical field is preferred.
Relevant professional experience may be considered in lieu of a degree.
What We’re Looking For
Strong problem-solving and system-design skills.
Ability to work independently with limited direction.
Strong communication and collaboration skills.
Ability to influence and work effectively with cross-functional teams.
Experience working with high-volume, distributed, and production-grade data systems.
Work arrangement
No
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