Jobs

Data Engineer
May 13, 2022

Responsibilities:

·      Data Engineers are responsible for delivering high quality modern data solutions through collaboration with our team and our customers.

·      Projects may range from short term client assessments through multiyear delivery engagements with large, blended teams.

  • Architect, develop and deploy data architectures in Microsoft Azure
  • Act as data engineer expert on the latest trends in the data analytics landscape and share best practices with the internal team
  • Leverage Open Source technology in building scalable and best-practice set-ups
  • Inspire customers with insights & opportunities on new data-driven use-cases
  • Work with external vendors and partner technologies including (but not limited to) Azure
  • Embrace project management aimed towards getting the job done. This will include working with client data engineers and data scientists but also business stakeholders

 

Qualification:

 

  • Hands-on experience working at a high level in Architecture or Data Science or combination.
  • Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in ADL, ADF, Azure Synapse Analytics etc.
  • Hands on Experience building ELT Pipelines using Azure Data factory
  • Practical knowledge of implementing data warehouse solution
  • Well versed in writing PySpark/Spark SQL notebooks for data cleaning, transformation
  • In-depth understanding of database structure principles
  • Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform.
  • Distributed Data Processing of big data batch or streaming pipelines.
  • Construction of data science and machine learning research and production pipelines.
  • Familiarity with data visualization tools (e.g. PowerBI, Tableau etc.)
  • Data Modeling & strong analytics skills in Analytics.
  • Problem-solving attitude
  • Highly self‐motivated, self‐directed, and attentive to detail
  • Ability to effectively prioritize and execute tasks.

Desired Skills:

  • Azure Synapse Analytics
  • Azure Data Factory
  • Azure Data Lake
  • SSAS Tabular Model/Azure Analysis Services
  • Databricks PySpark/SparkSql
  • Dimensional Modeling/Data Modeling
  • Power BI/Dax
  • Database migration from legacy systems to new solutions
  • Azure DevOps CI/CD Pipeline Implementation

 

 

 

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