
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.
Qualifications
Your Skills & Experience
Proven experience designing and implementing data pipelines in enterprise environments using Python for data transformation.
Strong hands-on experience with Azure data services, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database.
Proficiency with additional cloud platforms (AWS or GCP) is a plus.
Experience with both structured and unstructured data, including columnar (BigQuery, Redshift, Vertica), NoSQL (Cosmos DB, DynamoDB), and relational databases (SQL Server, Oracle, MySQL).
Familiarity with ETL/ELT tools and frameworks (e.g., Spark, Glue, Lambda, DataFlow, Spark Streaming).
Solid understanding of data modeling concepts, including dimensional modeling and star/snowflake schema design.
Comfortable working in code-driven environments and using tools for version control and continuous integration (e.g., Git, Jenkins).
Effective communication skills and the ability to collaborate with cross-functional teams.
Additional Information
Set Yourself Apart With
Experience in real-time streaming data integrations.
Background in performance tuning and optimization of data queries and processes.
Familiarity with DevOps practices in data engineering workflows.
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