Required Skills

Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 14th Jul 2022

JOB DETAIL

About Pactera EDGE - Pactera EDGE is a global organization with offices in the US, Europe, India, and Asia-Pacific. Clients include 100+ of the Global 500 companies, with industry concentration in Software and Technology, CPG, Retail, Logistics, Financial Services, Insurance, Healthcare, Food & Beverage, and Travel & Hospitality. With a core focus on Data, Intelligence, and Expertise, Pactera EDGE helps clients achieve new levels of performance while adding brand new digital business capabilities to drive relevance, revenue, and growth. With the clarity of vision, technological expertise, operational excellence, and a global footprint, Pactera EDGE is the partner of choice for enterprises that want to run smarter – and for those that want to change the race

Job description:
• 8+ years of experience in creating Data Platform Solutions
• 5+ years of experience in implementing Data bricks, Data bricks Notebook, Data Lakes, Data warehouse and Data Lake Architectures best practices for data storage, loading, retrieving data from data lakes.
• 3+ years of Azure Cloud Technologies building pipelines using PySpark/Python
• Must have good understanding of Azure Data Lakes and hands-on experience in implementing best practices in data storage, loading, retrieving data from data lakes.
• Deep experience in Azure Platform and Azure Data Services
• Data Processing & Transformation using DataBricks, HDInsight, Azure Functions
• Data Staging & Storage using Data Lake Store, Synapse, Cosmos DB
• Data Ingestion using Event Hub
• Data Orchestration using Azure Data Factory
• Working on Azure Databricks
• Spark scripts to process the data loads to different layers
• Understanding of AI/ML Services, Data Modelling & Analytics
• Engineer and maintain a modern Cloud data pipeline for ETL/ELT
• Implement modern data solutions with Azure Data Factory, Data Lake, Data Bricks, SQL data warehouse, and Cosmos DB.
• Azure Data Engineer Certification is preferable

Good to have
• Machine learning experience
• Big Data knowledge
• Snowflake or Big Query knowledge

 

Company Information