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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: 135981083
Skills:
Metadata Management, Pyspark, Amazon S3, AWS Glue, Automated Testing, Data Modeling, Sql, ELT, Terraform, Data Governance, Python, Etl, Infrastructure as Code, Amazon Athena, deployment practices, AWS CDK, AWS Lake Formation
Skills:
Linux, Pyspark, Data Warehousing, Sql, Python, Waterfall methodologies, analytics platforms, large-scale data processing, DevOps practices
Skills:
Hive, Data Modelling, Impala, Sql, Analytics, Data Analysis, data warehouse implementations, Cloudera Data Platform, DevOps deployment
Skills:
Sql, Python, Etl, Data Warehousing, Spark, Apache Kafka, Data Modeling, Cloud Computing, Nosql, Big Data
Skills:
Java, Bteq, Ranger, Hadoop, Apache Spark, Kafka, Impala, Sql, Hive, Shell scripting, Informatica Powercenter, Etl, ATLAS, GCFR, Flink, Teradata, Iceberg, NiFi
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