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Data Engineer for Cloud Platforms
3 weeks ago
Job Title: Data Architecture Specialist
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About the Role:
">The company is seeking a skilled Data Architecture Specialist to design, build, and maintain scalable data pipelines and data infrastructure in the AWS cloud environment.
">This role requires expertise in AWS services, data modeling, ETL processes, and a keen understanding of best practices for data management and governance.
">Main Responsibilities:
">- Design, build, and operationalize large-scale enterprise data solutions and applications using AWS data and analytics services in combination with third-party tools – including Spark/Python on Glue, Redshift, S3, Athena, RDS-PostgreSQL, Airflow, Lambda, DMS, Code Commit, Code Pipeline, Code Build, etc.
">- Design and build production ETL data pipelines from ingestion to consumption within a big data architecture, using DMS, DataSync, and Glue.
">- Understand existing applications (including on-premise Cloudera Data Lake) and infrastructure architecture.
">- Analyze, re-architect, and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or third-party services.
">- Design and implement data engineering, ingestion, and curation functions on AWS cloud using native AWS services or custom programming.
">- Perform detailed assessments of current data platforms and create transition plans to AWS cloud.
">- Collaborate with development, infrastructure, and data center teams to define Continuous Integration and Continuous Delivery processes following industry standards.
">Mandatory Skills and Qualifications:
">- Bachelor's Degree in Computer Science, Information Technology, or related fields.
">- 5+ years of experience with ETL, Data Modeling, Data Architecture to build Data Lakes.
">- Proficient in ETL optimization, designing, coding, and tuning big data processes using PySpark.
">- 3+ years of extensive experience working on AWS platform using core services like AWS Athena, Glue PySpark, Redshift, RDS-PostgreSQL, S3, and Airflow for orchestration.
">Preferred Skills:
">- Fundamentals of the Insurance domain.
">- Functional knowledge of IFRS17.
">- Understanding of 14 days AL (Accumulated Leave).
">- Knowledge of company insurance benefits.
