Senior Data Engineer - Apache Flink

<p><p><b>About the Role :</b><br/><br/>We are hiring a Senior Data Engineer with strong expertise in batch and streaming data pipelines.

This role is ideal for a driven professional with over 5 years of experience in data engineering, seeking to lead scalable data infrastructure efforts in a dynamic, data-first organization.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and maintain batch and real-time (streaming) data pipelines.<br/><br/>- Build scalable and efficient data architecture for large-scale data processing.<br/><br/>- Collaborate with data scientists, analysts, and engineers to support data needs across teams.<br/><br/>- Optimize existing pipelines for performance, cost, and reliability.<br/><br/>- Ensure data quality, integrity, and governance across all workflows.<br/><br/>- Work with cloud-based data platforms to enable high-availability systems.<br/><br/>- Document data workflows and contribute to engineering best practices.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- 5+ years of experience in Data Engineering.<br/><br/>- Proven hands-on experience with both batch (ETL/ELT) and streaming (real-time) data processing.<br/><br/>- Proficiency in Python, Scala, or Java.<br/><br/>- Strong experience with Apache Kafka, Apache Spark, Flink, or similar streaming tools.<br/><br/>- Hands-on experience with cloud platforms such as AWS, GCP, or Azure.<br/><br/>- Proficient in SQL and working with data warehouses (e.g., Snowflake, BigQuery, Redshift).<br/><br/>- Familiarity with orchestration tools like Apache Airflow or Dagster.<br/><br/>- Solid understanding of data modeling, data architecture, and distributed systems.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Exposure to CI/CD pipelines for data deployments.<br/><br/>- Experience working with data lakes and data lakehouses.<br/><br/>- Understanding of data privacy, compliance, and security standards.<br/><br/>- Knowledge of containerization tools like Docker and Kubernetes.</p><br/></p> (ref:hirist.tech)