Senior Data Engineer

6+ years of experience with Java Spark.
Strong understanding of distributed computing, big data principles, and batch/stream processing.
Proficiency in working with AWS services such as S3, EMR, Glue, Lambda, and Athena.
Experience with Data Lake architectures and handling large volumes of structured and unstructured data.
Familiarity with various data formats.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Design, develop, and optimize large-scale data processing pipelines using Java Spark
Build scalable solutions to manage data ingestion, transformation, and storage in AWS-based Data Lake environments.
Collaborate with data architects and analysts to implement data models and workflows aligned with business requirements.
Ensure performance tuning, fault tolerance, and reliability of distributed data processing systems.