Data Engineer
3 days ago
**Job Information**: Industry **Insurance** *** Salary **8000** *** Work Experience **2-4 Years** *** City **singapore** *** State/Province **singapore** *** Country **Singapore** *** Zip/Postal Code **189557** *** - HANDS-ON: 5 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark. - Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow. TECHNICAL: Actual experience on developing Data platform and its components; Data lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline- o Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.- o Create data pipeline architecture by designing and implementing data ingestion solutions.- o Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow- o Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena- o Author ETL processes using Python, Pyspark- o Build Redshift Spectrum direct transformations and data modelling using data in S3- o ETL process monitoring using CloudWatch events- o You will be working in collaboration with other teams. Good communication must.- o Must have experience in using AWS services API, AWS CLI and SDK- PROFESSIONAL: Experience operating very large data warehouses or data lakes - Expert-level skills in writing and optimizing SQL - Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology. - Must have 4+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment. - Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired **Requirements**: - Experience level: - o Junior Developer: Minimum 4-6 years- o Senior Developer: 6-8 years- o Lead Developer: at least >8 Years - Must-Have Skills: AWS, Glue, DMS, Data Integrations and Data Operations
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