Big Data Developer

We’re Hiring: Big Data Engineer (4–8 Years Experience)

Location:

Are you passionate about building scalable big data solutions? Do you thrive in a high-performance environment where innovation meets impact?

Big Data Engineer

Key Responsibilities

• Design and develop scalable big data processing pipelines.
• Implement data ingestion, transformation, and validation.
• Collaborate across teams to deliver data solutions for analytics & ML.
• Optimize systems for performance, reliability, and scalability.
• Monitor and troubleshoot performance bottlenecks.
• Document workflows, specs, and technical decisions.

Required Qualifications

• Bachelor’s in Computer Science, Engineering, or related field (Master’s preferred).
• 3+ years of experience in Big Data Engineering.
• Strong in Python, Java, or Scala.
• Hands-on with Apache Spark, Hadoop, Kafka, or Flink.
• Solid knowledge of SQL and relational databases (MySQL, PostgreSQL).
• Experience with ETL, data modeling, and data warehousing.
• Exposure to distributed computing and cloud platforms (AWS/GCP/Azure).
• Familiar with Docker, Kubernetes, and DevOps practices.

Tools & Technologies

• IDEs: IntelliJ, Eclipse
• Build: Maven, Gradle
• Testing: JUnit, TestNG, Mockito
• Monitoring: Prometheus, Grafana, ELK
• APIs: Swagger, OpenAPI
• Messaging: Kafka
• Databases: MySQL, PostgreSQL, MongoDB, Redis
• ORM: Hibernate, Spring Data

Ready to build the future with us?

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