Apache Flink Engineer (minimum 4+ Years Experience)
Position: Apache Flink Engineer
Experience: 4+ years (Min. 2 years in Apache Flink)
Location: Remote
Type: Full-time/Contract
Job Role
We are looking for an experienced Data Engineer with strong hands-on expertise in Apache Flink, large-scale data pipelines, and real-time streaming systems. The ideal candidate has worked on multi-layer data architectures (Raw Bronze Silver Gold) and is skilled in building scalable ingestion, transformation, and processing solutions.
Key Responsibilities
Build and optimize real-time streaming applications using Apache Flink (DataStream API, SQL, CEP).
Develop scalable data ingestion and ETL pipelines across Raw, Bronze, Silver, and Gold layers.
Work with large-scale datasets, performing transformation, enrichment, and real-time processing.
Integrate and manage data pipelines with Kafka or similar streaming platforms.
Collaborate on data architecture, best practices, performance tuning, and CI/CD deployment.
Ensure data quality, observability, and reliability of streaming and batch workflows.
Required Skills
4+ years IT experience, including 2+ years hands-on Flink.
Strong expertise in real-time streaming, event processing, and distributed systems.
Proficient in Java/Scala/Python for building Flink applications.
Solid understanding of databases (SQL & NoSQL) and performance tuning.
Experience with cloud platforms (AWS/Azure/GCP) and data lake architectures.
Good SQL knowledge and experience handling large-scale data movement.
Nice to Have
Experience with Flink SQL/Table API.
Exposure to Spark, Airflow, or Hadoop ecosystem.
Knowledge of Docker, Kubernetes, or CI/CD pipelines.
Soft Skills
Strong analytical and problem-solving abilities.
Excellent communication and teamwork skills.
Ownership mindset and attention to detail.
Education
* Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
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