Aws Data Engineer
Singapore, S00, SG, Singapore
Job Description
Design and build scalable ETL pipelines and data integration workflows using AWS services and Python.
Develop and optimize data lake and data warehouse solutions for structured and unstructured data.
Leverage Apache Spark for large-scale data processing and transformation tasks.
Collaborate with cross-functional teams to gather requirements and deliver clean, usable datasets for analytics and reporting.
Ensure high data quality, security, and compliance in all stages of the data lifecycle.
Requirements
5+ years of hands-on experience in data engineering roles. Proficiency in Python for building and automating data pipelines. Strong experience with AWS services (S3, Glue, Redshift, Lambda, etc.). Solid understanding of ETL processes and modern data warehousing concepts. Experience with big data tools, especially Apache Spark (PySpark preferred). Familiarity with DevOps and CI/CD practices for data pipeline deployment. Knowledge of data governance and cataloging tools. * Strong problem-solving, communication, and collaboration skills.
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Job Detail
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Job IdJD1623618
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, S00, SG, Singapore
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EducationNot mentioned