Senior Associate Data Engineer (AZURE)
Arlington, VA, United States
Full Time Mid-level / Intermediate USD 95K - 145K
Publicis Groupe
Company Description
As a Digital Business Transformation partner of choice at Publicis Sapient, we’ve spent nearly three decades utilizing the disruptive power of technology and ingenuity to help digitally enable our client's businesses in their pursuit of the next. Our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses by designing the products and services their customers truly value. In the space between next and now is how. And we believe that how you seize that space is everything.
We've been named a leader in Gen AI
Job Description
Publicis Sapient is looking for Senior Associates, Data Engineers to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.
Required Tech Stack:
- Be able to build and implement quality data pipelines Azure Data Factory, Pyspark, Databricks, Azure synapse, Python.
- Well versed with ADO pipelines Azure cosmos DB, Azure EventHub.
- Automated quality and performance testing frameworks.
Qualifications
Must-Haves:
- ***Application open to ONLY U.S. Citizens and Permanent Residents***
- 5+ yrs of demonstrable exp in data platforms involving the implementation of end-to-end data pipelines
- Hands-on exp with AZURE cloud data platform
- Implementation exp with column-oriented database technologies (Big Query, Redshift, Vertica), NoSQL database technologies (DynamoDB, BigTable, CosmosDB, Cassandra), and traditional database systems (i.e. SQL Server, Oracle, MySQL)
- Exp in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Streaming, Google Cloud DataFlow, Azure Data Factory, etc.
- Exp in data modeling, warehouse design, fact/dimension implementations.
- Bachelor degree in Computer Science, Engineering or related field
- Ability to handle multiple responsibilities simultaneously in leadership and contributing to tasks “hands-on”
Nice to have:
- Exposure to a wide range of reporting and visualization tools, Python, DBT
- Certifications for any of the cloud services like AWS, GCP, or Azure
- Exp working with code repositories and continuous integration
- Understanding of development and project methodologies
- Willingness to travel to office/client site when required- This is a Hybrid role.
Additional Information
Annual Pay Ranges are listed below:
Senior Associate Data Engineering, L1: 95,000- 128,000 USD
Senior Associate Data Engineering, L2: 108,000- 145,000 USD
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. The actual range for this position may differ, depending on location and the specific skillset required for the work.
Benefits of Working Here:
- Flexible vacation policy
- Unlimited PTO's
- 15 company paid holidays annually
- Work Your World program
- Generous parental leave and new parent transition program
- Tuition reimbursement
- Corporate gift matching program
All your information will be kept confidential according to EEO guidelines
#Hybrid
Tags: AWS Azure BigQuery Bigtable Cassandra Computer Science Consulting Cosmos DB Databricks Dataflow Data pipelines dbt DynamoDB Engineering ETL GCP Generative AI Google Cloud Lambda MySQL NoSQL Oracle Pipelines PySpark Python Redshift Spark SQL Streaming Testing
Perks/benefits: Flex hours Flex vacation Parental leave Unlimited paid time off
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