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This role is for a Data Engineer to design and implement end-to-end data engineering solutions on Azure. The ideal candidate will be responsible for developing and optimizing data pipelines, ensuring data quality and security, and collaborating with cross-functional teams to build scalable data architectures.
Required Skills:
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Job ID: 123711575
Skills:
S3, Scala, Kafka, Big Data, Postgres, Emr, Datadog, Sql, Lambda, Kinesis, Spark, Python, AWS, Apache Iceberg, Airflow, Flink, Aurora, dbt, Glue, NIFI
Skills:
Power Bi, Databricks, Excel, Python, Sql, Statistical packages, Power queries, VBA scripting
Skills:
BigQuery, Google Cloud Platform, Apache Spark, Dataproc, Sql, ELT, Cloud Storage, DataFlow, Python, Etl, Airflow, Pub Sub
Skills:
graph databases , object storage , Java, Hadoop, Scala, AWS Glue, Kafka, Emr, HBase, Yarn, Redshift, Pig, Sql, Hive, Kinesis, Spark, Python, FireHose, column-family databases, data stores, key-value stores, IAM roles and permissions, non-relational databases
Skills:
Devops, Rabbitmq, Scala, Spark, Kafka, Sql, Meta, Google Ads
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