Building Scalable Data Infrastructure

1 week ago

india beBeeDataEngineer Full time

Data Engineering PositionWe're seeking a skilled Data Engineer to develop, deploy and optimize scalable data infrastructure.This role is ideal for an experienced professional with a passion for architecting complex data pipelines and workflows.At least 3 years of experience in designing and implementing large-scale data systemsProven track record of building end-to-end ETL pipelinesDeep knowledge of AWS services: EC2, Athena, Lambda, and Step FunctionsStrong proficiency in MySQLWorking knowledge of Docker: setup, deployment, and troubleshootingThe ideal candidate will have hands-on experience with orchestration tools such as Airflow or similar, PySpark, Python data ecosystem: SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy, and exposure to DLT (Data Load Tool).To be successful in this position, one must possess a builder's mindset, being proactive and taking ownership of projects. Independent contributors who can communicate effectively and thrive in fast-paced environments are preferred.PREFERRED SKILLS:Airflow or similarPySparkPython data ecosystemDLT (Data Load Tool)BENEFITS:Opportunity to work on complex data projectsCollaborative environment with like-minded professionalsRoom for growth and career advancement

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