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Embitel Technologies
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Data Engineer with Flink

Data Engineer with Flink

Embitel Technologies

5 - 10 years

6 - 9 Lacs

kolkata mumbai new delhi hyderabad pune chennai bengaluru

Posted:5 days ago| Platform:

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Skills Required

data modeling machine learning data quality apache business intelligence distribution system monitoring python technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly skilled and motivated Data Engineer with expertise in Apache Flink to join our data engineering team. You will be responsible for building scalable, real-time data pipelines and stream processing solutions using Apache Flink, ensuring high data quality and system reliability to support analytics, machine learning, and business intelligence efforts.

Key Responsibilities

Design, develop, and maintain real-time data processing applications using Apache Flink .
Build and optimize data pipelines that support real-time analytics and operational systems.
Integrate data from various sources (Kafka, databases, APIs, etc.) into the streaming architecture.
Collaborate with data scientists, analysts, and backend engineers to meet data requirements.
Ensure data reliability, quality, and performance through monitoring and testing.
Implement and enforce data security, privacy, and compliance standards.
Participate in code reviews and contribute to team best practices and technical documentation.

Required Qualifications

Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering with strong hands-on experience in Apache Flink .
Proficiency in Java or Scala (Python is a plus).
Experience with real-time data platforms such as Apache Kafka , Apache Pulsar , etc.
Solid understanding of stream and batch data processing paradigms.
Experience with data modeling, ETL processes, and distributed systems.
Familiarity with CI/CD pipelines, version control, and Agile development.

Preferred Qualifications

Experience with cloud platforms (AWS/GCP/Azure), especially managed Flink services (e.g., Kinesis Data Analytics, Flink on EMR, or Flink on Dataproc).
Familiarity with Apache Beam or other stream processing frameworks.
Exposure to containerization tools like Docker and orchestration with Kubernetes.
Knowledge of data lake architectures and tools (e.g., Delta Lake, Iceberg, Hudi).

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Data Engineer with Flink