
Data Engineer
2 weeks ago
**Job Information**:
Industry
**Insurance**
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Salary
**8000**
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Work Experience
**2-4 Years**
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City
**singapore**
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State/Province
**singapore**
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Country
**Singapore**
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Zip/Postal Code
**189557**
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- 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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