What are the responsibilities and job description for the Data Engineer- Azure position at Manpower Group Inc.?
Client : Fortune 100 International Bank
Job Title : Azure Data Engineer
Type : Contract to potential hire
- W2 Only) No 3rd Parties, No C2C / 1099
Contract Length : 6-12 months
Location (remote, hybrid, onsite) : Jersey City, NJ x / week
Pay : Based on experience
Azure Data Engineer / Developer
RESPONSIBILITIES
Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.
Designing and implementing highly performant data ingestion pipelines from multiple sources using Azure Databricks.
Direct experience of building data pipelines using Azure Data Factory and Databricks.
Developing scalable and re-usable frameworks for ingesting of datasets
Lead design of ETL , data integration and data migration.
Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
Integrating the end to end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
Working with event based / streaming technologies to ingest and process data
Working with other members of the project team to support delivery of additional project components (API interfaces, Search)
Evaluating the performance and applicability of multiple tools against customer requirements
REQUIREMENTS
At least 5 years experience on ADLS, Azure Databricks, Azure SQL DB and Datawarehouse, prefer candidates with 7-10 years of experince.
Strong working experience in Implementation of Azure cloud components using Azure Data Factory , Azure Data Analytics, Azure Data Lake, Azure Data Catalogue, LogicApps and FunctionApps
Have knowledge in Azure Storage services (ADLS, Storage Accounts)
Expertise in designing and deploying data applications on cloud solutions on Azure
Hands on experience in performance tuning and optimizing code running in Databricks environment
Good understanding of SQL, T-SQL and / or PL / SQL
Should have experience working in Agile projects with knowledge in Jira
Good to have handled Data Ingestion projects in Azure environment
Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment
Experience on Python scripting, Spark SQL PySpark is a plus.
If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of : Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE : MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
