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Sr Azure Data Engineer

Remote: 
Full Remote
Contract: 
Fixed term
Experience: 
Senior (5-10 years)
Work from: 
United States

Offer summary

Qualifications:

Proficiency in SQL and data engineering., Experience with Azure Data Factory and Databricks., Hands-on experience with PySQL/Pyspark., Strong analytical and problem-solving skills..

Key responsabilities:

  • Gather data requirements through business discussions.
  • Create and manage data pipelines using Azure tools.
Zealogics Inc logo
Zealogics Inc Information Technology & Services SME https://www.zealogics.com/
501 - 1000 Employees
About Zealogics Inc
Zealogics Inc provides a broad range of IT and Engineering Services, Systems Implementation and Application Outsourcing Services through an optimized global delivery model. Zealogics builds deep knowledge of traditional product engineering across Mechanical, Electronics and Software platforms, to enable clients to navigate their digital transformation. Zealogics values engineering techniques, automation frameworks, and reference models which are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies through a collaborative approach for execution. We help to harmonize processes, identify bottlenecks, and eliminate non-value tasks to deliver world-class products. With impeccable focus on client needs we connect specialized resources for the right positions, both for full time and contractual placements. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. Zealogics hires experienced people to solve a wide array of IT and Engineering challenges that our clients face. Our guarantee - Zealogics provides the best value services in town.
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Job description

  • Responsibilities: Able to participate in business discussions and assist gathering data requirements.  Good analytical and problem-solving skills to help address data challenges.     
    Proficiency in writing complex SQL queries for data extraction, transformation, and analysis.  Knowledge of SQL functions, joins, subqueries, and performance tuning.  Able to navigate source systems with minimal guidance to understand how data is related and use like data profiling to gain a better understanding of the data. Hands on experience with PySQL/Pyspark etc.   
    Hands on Experience in creating and managing data pipelines using Azure Data Factory.  Understanding of data integration, transformation, and workflow orchestration in Azure environments.    
    Knowledge of data engineering workflows and best practices in Databricks.  Able to understand existing templates and patterns for development. Hands on experience with Unity Catalog and Databricks workflow.   
    Proficiency in using Git for version control and collaboration in data projects.  Ability to work effectively in a team environment, especially in agile or collaborative settings.  
    Clear and effective communication skills to articulate findings and recommendations for other team members.  Ability to document processes, workflows, and data analysis results effectively.  
    Willingness to learn new tools, technologies, and techniques as the field of data analytics evolves.  Being adaptable to changing project requirements and priorities.  
    Skills
    Azure Databricks, Data Lakehouse architectures, and Azure Data Factory.
    Expertise in optimizing data workflows and predictive modeling.
    Designing and implementing data pipelines using Databricks, Spark,
    Expertise in batch and streaming data solutions, automating workflows with CI/CD tools like Jenkins and Azure DevOps, and ensuring data governance with Delta Lake
    Spark, PySpark, Delta Lake, Azure DevOps, Python.
    Advance SQL expertise

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.
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