C
Data Engineer
C
Data Engineer
CapgeminiThis job is no longer accepting applications
Job Description
Job Description
This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data.
Job Description - Grade Specific
Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.
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About Company
Skills:
Aws Lambda, Data Modeling, Aws Redshift, Pyspark, AWS Glue, Apache Spark, AWS Athena, Sql, ELT, Git, AWS IAM, Data Warehousing, Python, Aws S3, Etl, Airflow, AWS EMR, AWS Step Functions, CI CD
Skills:
data engineering , Spark, Databricks, Emr, Airflow, AWS data services, Micro-services architecture, Streaming pipelines, Athena
Skills:
Power Bi, Power Automate, Power Query, Sql, Microsoft 365, Dax, Data Analytics, Python, Root Cause Analysis, Process Automation, Dashboard Development, Sharepoint, KPI Reporting, ETL Data Pipelines
Skills:
snowflake , Data Warehousing, Kafka, Automated Testing, ELT, Docker, Python, Azure DevOps, AWS, Data Modelling, Sql, Devops, Data Quality, Git, Databricks, Kubernetes, Etl, data lakes, Security, MDM, Event Hubs, metadata lineage, production reliability, GitHub Enterprise, DataOps, dbt, CI CD pipelines
Skills:
data engineering , snowflake , Cloud Computing, Cloud Integration, Technical Solution Delivery, Data and AI use case implementation