Senior Data Engineer- Azure

2 days ago

Boston, United States Sapient Corporation Full time

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of 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 through designing the products and services their customers truly value.

Job Description

Publicis Sapient is looking for a Senior Associate Data Engineer 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.

Your Impact:

  • Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our client's business
  • Translate client's requirements to system design and develop a solution that delivers business value
  • Lead, design, develop, and deliver large-scale data systems, data processing, and data transformation projects
  • Automate data platform operations and manage the post-production system and processes
  • Conduct technical feasibility assessments and provide project estimates for the design and development of the solution
  • Mentor, help and grow junior team members

Your Technical Skills & Experience:

  • Demonstrable experience in data platforms involving the implementation of end-to-end data pipelines
  • Hands-on experience in Azure cloud platform.
  • Implementation experience with column-oriented database technologies (i.e., Big Query, Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (i.e., SQL Server, Oracle, MySQL)
  • Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Glue ETL, Lambda, Spark, Spark Streaming, etc.
  • Knowledge of streaming technologies preferably Kafka and Spark Streaming to ingest high volume, high velocity datasets
  • Hands-on experience in using Databricks or Spark notebooks (preferred language Scala) to perform ETL and design workflow orchestrations.
  • Ability to handle module or track level responsibilities and contributing to tasks
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