Published date Posted on Indeed on Dec 30, 2021 (18 d ago)

* 10+ years' experience with BS in CS/Software engineering, mathematics/physics/statistics or equivalent experience

* 3 years of experience with Data Bricks, Hadoop, Data Factory Data Fusion, Kafka, Python must have at least 3 years

  • Demonstrating the ability to solve complex data challenges in novel ways, drive business value and organizational change.
  • Strong data modelling experience plus Data Engineering Cert (Azure and Snowflake Good to have: AWS or GCP)
  • Expertise in automated test/validation solutions, cloud and on premises infrastructure components
  • The Engineer is a recognized subject matter expert in data modelling and building analytical applications on on-prem and cloud platforms, with expertise in integrating and migrating data between infrastructures of varying types.
  • Expertise using bigdata platforms like Azure/GCP/AWS, BigQuery, Snowflake, AWS certifications are preferred
  • Strong experience in building data pipelines leveraging technologies like ADF, Databricks, Datafusion, Kafka, Eventhub etc.
  • Advanced expertise in SQL and strong skills in two or more programming languages, such as Python or Java.
  • Demonstrated expertise in building modern data lake solutions leveraging multiple providers, such as Azure ADLS, Google cloud storage, Hadoop/HDFS, S3 etc.
  • Proven expertise in data/dimensional modeling and segmentation on MPP platforms (Snowflake, BigQuery) as well as traditional relational databases.
  • Ability to identify, capture and influence user/business needs and translate them into technical requirements.

Contract length: 9 months'
'
Work Remotely

  • Temporarily due to COVID-19

Job Types: Full-time, Contract

Schedule:

  • 8 hour shift

Education:

  • Bachelor's (Required)

Experience:

  • Data warehouse: 3 years (Preferred)
  • Hadoop: 3 years (Preferred)
  • Kafka: 3 years (Preferred)
  • data bricks: 3 years (Preferred)
  • Python: 3 years (Preferred)
  • data factory data fusion: 3 years (Preferred)

Work Location: Remote


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