Senior Associate Data Engineering L2 DE - Big Data AWS

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.

The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution Your Impact:
Data Ingestion, Integration, and Transformation Data Storage and Computation Frameworks, Performance Optimizations Analytics & Visualizations Infrastructure & Cloud Computing Data Management Platforms Build functionality for data ingestion from multiple heterogeneous sources in batch & real‑time Build functionality for data analytics, search, and aggregation.

Your

Skills & Experience:

• Minimum 3 years of experience in Big Data technologies
• Hands‑on experience with the Hadoop stack – HDFS, sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow, and other components required in building end‑to‑end data pipelines. Working knowledge of real‑time data pipelines is added advantage.
• Strong experience in at least the programming language Scala.
• Hands‑on working knowledge of No
  
  SQL and MPP data platforms like Hbase, Mongo
  
  DB, Cassandra, AWS Redshift, Azure SQLDW, GCP Big Query, etc.
• Well‑versed and working knowledge with data platform‑related services on Azure
• Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position.

Set Yourself Apart With:

• Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands‑on experience
• Knowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation, etc
• Knowledge of distributed messaging frameworks like Active
  
  MQ / Rabbi
  
  MQ / Solace, search & indexing, and Microservices architectures
• Performance tuning and optimization of data pipelines
• Cloud data specialty and other related Big data technology certifications

Gender Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being.