4 - 8 years

0 Lacs

Posted:19 hours ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

Role: Big Data Engineer

Exp: 4 - 8 Years

Mode of Work: On-site

Employment Type: Full-time

Location: KochiJob Description

Design, develop, and maintain scalable and efficient big data processing pipelines distributed computing systems

Collaborate with cross-functional teams to understand data requirements and design appropriate data solutions.

Implement data ingestion, processing, and transformation processes to support various analytical and machine learning use cases.

Optimize and tune data pipelines for performance, scalability, and reliability.

Monitor and troubleshoot pipeline performance issues, identifying and resolving bottlenecks.

Ensure data quality and integrity throughout the pipeline, implementing data validation and error handling mechanisms.

Stay updated on emerging technologies and best practices in big data processing and analytics, incorporating them into our data engineering practices.

Document design decisions, technical specifications, and data workflows.

Mandatory Qualification:

Bachelor's degree in computer science, Engineering, or related field. Master's degree preferred.

Proven experience (3+ years) as a Data Engineer or similar role, with a focus on big data processing.

Strong proficiency in programming languages such as Python, Java, & Scala.

Experience with big data processing frameworks and technologies such as Apache Hadoop, Spark, Kafka, Flink, etc.

Hands-on experience with distributed computing, parallel processing, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud).

Proficiency in SQL and database technologies (e.g., SQL Server, PostgreSQL, MySQL).

Experience with data warehousing, ETL (Extract, Transform, Load) processes, and data modeling.

Familiarity with containerization technologies (e.g., Docker, Kubernetes) and DevOps practices.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Tools and Technologies:

IDEs: IntelliJ IDEA, Eclipse

Build Tools: Maven, Gradle

Testing Frameworks: JUnit, Mockito, TestNG

Containerization: Docker, Kubernetes

API Documentation: Swagger, OpenAPI

Monitoring and Logging: Prometheus, Grafana, ELK Stack

Database: MySQL, PostgreSQL, MongoDB, Redis

ORM Frameworks: Hibernate, Spring Data

Message Brokers: Kafka

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