Sr. Data Engineer

Overview

#Connections #hiring #Immediate #DataEngineer #Bhopal

Hi Connections,

We are hiring data engineer for our client.

Job Title: Data Engineer – Real-Time Streaming & Integration (Apache Kafka)

Location: Bhopal, Madhya Pradesh

Key Responsibilities:

· Design, develop, and maintain real-time streaming data pipelines using Apache Kafka and Kafka Connect.

· Implement and optimize ETL/ELT processes for structured and semi-structured data from various sources.

· Build and maintain scalable data ingestion, transformation, and enrichment frameworks across multiple environments.

· Collaborate with data architects, analysts, and application teams to deliver integrated data solutions that meet business requirements.

· Ensure high availability, fault tolerance, and performance tuning for streaming data infrastructure.

· Monitor, troubleshoot, and enhance Kafka clusters, connectors, and consumer applications.

· Enforce data governance, quality, and security standards throughout the pipeline lifecycle.

· Automate workflows using orchestration tools and CI/CD pipelines for deployment and version control.

Required Skills & Qualifications:

· Strong hands-on experience with Apache Kafka, Kafka Connect, and Kafka Streams.

· Expertise in designing real-time data pipelines and stream processing architectures.

· Solid experience with ETL/ELT frameworks using tools like Apache NiFi, Talend, or custom Python/Scala-based solutions.

· Proficiency in at least one programming language: Python, Java, or Scala.

· Deep understanding of message serialization formats (e.g., Avro, Protobuf, JSON).

· Strong SQL skills and experience working with data lakes, warehouses, or relational databases.

· Familiarity with schema registry, data partitioning, and offset management in Kafka.

· Experience with Linux environments, containerization, and CI/CD best practices.

Preferred Qualifications:

· Experience with cloud-native data platforms (e.g., AWS MSK, Azure Event Hubs, GCP Pub/Sub).

· Exposure to stream processing engines like Apache Flink or Spark Structured Streaming.

· Familiarity with data lake architectures, data mesh concepts, or real-time analytics platforms.

· Knowledge of DevOps tools like Docker, Kubernetes, Git, and Jenkins.

Work Experience:

· 6+ years of experience in data engineering with a focus on streaming data and real-time integrations.

· Proven track record of implementing data pipelines in production-grade enterprise environments.

Education Requirements:

· Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

· Certifications in data engineering, Kafka, or cloud data platforms are a plus.

Interested guys, kindly share your updated profile to pavani@sandvcapitals.com or reach us on 7995292089.

Thank you.

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Schedule:

• Day shift

Experience:

• Data Engineer: 6 years (Required)
• ETL: 6 years (Required)

Work Location: In person