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Publicis Re:Sources · 11 hours ago

Senior Data Engineer

New York, NY

Full-time

Onsite

Senior Level

Publicis Re:Sources is the backbone of Publicis Groupe, the world’s most valuable agency group. They are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives.

Business DevelopmentConsultingInformation Technology

No H1B

Responsibilities

Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects

Develop, implement, and deploy ETL solutions

Preprocess and analyze large datasets to identify patterns, trends, and insights

Evaluate, validate, and optimize data models to ensure efficiency, and generalizability

Monitor and maintain the performance of data pipeline, data models in production environments, identifying opportunities for improvement and update as needed

Document development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement

Qualification

PythonETL workflowsSQLCloud infrastructureSnowflakeData modelingCI-CD pipelinesAPI integrationsPySparkAirflowAzure Data FactoryGlueRedshiftAWSGCP

Required

Bachelor's or master's degree in computer science, Engineering, or a related field

Strong programming skills in languages such as Python, PySpark, SQL etc

Experience in Build and optimize ETL workflows using tools/technologies such as Spark, Snowflake, Airflow and/or Azure Data factory, Glue, Redshift etc

Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis

Develop and maintain data models ensuring scalability and optimal performance

Utilize Snowpark for data processing within the Snowflake platform

Integrate Snowflake for efficient data storage and retrieval

Exposure to API integrations to facilitate data workflows

Experience in implementing CI-CD pipelines through DevOps platforms

Good experience in cloud infrastructure such as Azure, AWS or GCP