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A successful Senior Data Engineer should have:
This is an excellent opportunity for a Senior Data Engineer to advance their career in the technology department of a leading organization. Interested candidates are encouraged to apply.
Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.
Job ID: 149223405
Skills:
Spark, Kafka, Azure Databricks, Azure Machine Learning, vector search, embeddings, MLflow, Pinecone, Azure AI Search, RAG pipelines, Azure OpenAI
Skills:
Data Security, Devops, Orchestration, Domain Knowledge, Programming, Database Systems, Data Integration, Cloud Platforms, AWS Ecosystem, Streaming Architecture, Engineering Practices
Skills:
snowflake , Github, Redshift, Apache Airflow, Jenkins, Git, Linux, Rundeck, Aws Ec2, Gitlab, Kubernetes, Python, AWS, Dremio, Data Lake architectures, Athena, ETL pipelines
Skills:
snowflake , Pyspark, Hadoop, Power Bi, No Sql, Data Visualization, Scala, Tableau, Databricks, Data Modelling, Sql
Skills:
thoughtspot , snowflake , S3, Lambda, Kinesis, Spark, Etl Tools, AWS, Airflow, Segment, Flink, Hightouch, dbt, Firehose, Fivetran, Estuary
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