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This is an 18-months contract.
As a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics solutions to support business decision-making. You will work closely with business and technical stakeholders to translate data requirements into robust data models, ETL pipelines, and BI dashboards, while ensuring data quality, security, and governance.
Responsibilities
Requirements
Job ID: 141014117
Skills:
Agile Development Methodologies, Pyspark, Sql, ELT, Git, Spark, Python, Etl, Apache Iceberg, Cloud-native data engineering, Open Data Catalogue, DataHub, OpenMetadata
Skills:
amazon dynamodb , Informatica Power Center, Amazon S3, Tableau, Nosql, Docker, Python, AWS, Java, Aws Lambda, Hadoop, Scala, Apache Spark, Sql, Git, Amazon Redshift, Databricks, Amazon Rds, Kubernetes, Etl, AWS Step Functions, Informatica IDMC, Databricks Spark, Databricks Delta Lake
Skills:
Azure Data Factory, AWS Glue, Apache Spark, Apache Kafka, Databricks, Python, Sql, Airflow, dbt, Google Dataflow
Skills:
Aws Lambda, Amazon Kinesis, Amazon S3, Scala, AWS Glue, Sql, Amazon Redshift, Python, Amazon EventBridge, AWS Step Functions, AWS Lake Formation, AWS AppFlow
Skills:
Python