Senior Data Engineer- Azure

3 weeks ago


Arlington Virginia, United States Publicis Sapient Full time
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, designed, 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 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.

Ability to handle module or track level responsibilities and contributing to tasks “hands-on”

Experience in data modeling, warehouse design and fact/dimension implementations

Experience working with code repositories and continuous integration

Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes

Data processing programming using SQL, DBT, Python, and similar tools

Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala

Data ingest, validation, and enrichment pipeline design and implementation

Cloud-native data platform design with a focus on streaming and event-driven architectures

Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks

Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog, and similar

Code review and mentorship

Bachelor’s degree in Computer Science, Engineering or related field.

Set Yourself Apart With:

Developer certifications for any of the cloud services like AWS, Google Cloud or Azure

Understanding of development and project methodologies

Willingness to travel



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