We are seeking a Data Engineer to join our team. With expertise in big data solutions, cloud technologies, and data pipelines, you will help design and deploy scalable data architectures. Your experience will enable us to deliver high‑quality, cloud‑native data services for our clients.
Key responsibilities
Provide out‑of‑the‑box custom data solutions, pipelines, repairs, and reprocessing for analytics workloads.
Design and implement data models, ingestion pipelines, and data warehouses on AWS.
Collaborate with stakeholders to gather requirements and create architecture diagrams.
Develop and maintain large‑scale modules using Python, Spark, and SQL.
Lead the migration of on‑premises projects to cloud platforms.
Utilize Airflow, Docker, and Kubernetes for workflow orchestration and deployment.
Ensure data quality and security across all pipelines.
Document processes and maintain version control with Git.
Required qualifications
Bachelor’s degree in Computer Science (https://jobeax.com/link/2DENLGgQM7whDhaE)
Over 8.5 years of professional data engineering experience.
Proficient in Python, Spark, and AWS services (S3, Glue, Lambda, EMR).
Strong background in Big Data ecosystems (Hadoop, Hive, Kafka, Spark SQL).
Experience with data modeling, ETL, and data lake architecture.
Nice to have
Airflow certification or experience.
Knowledge of Docker, Kubernetes, and CI/CD pipelines.
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