Senior Big Data Engineer

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. 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.

Job Description

As a Senior Associate with our Data Engineering group, you will be responsible for the design and implementation of high-end software products/services that enable the enterprise-scale digital transformation of many of the biggest companies in the world. 

Your role will be focused on delivering solutions that leverage large scale data ingestion, processing, storage/querying, in-stream & batch analytics. As part of a team, you will deliver world-class solutions designed by our senior architects by estimating, designing, coding, testing, deploying and ensuring scalability and performance using the latest frameworks and platforms 

You will also be involved in building technology prototypes for validation and assess technical designs for functional & non-functional completeness. 

As a hands-on technologist with an extensive programming background, you will be excited to join a super talented and supportive community of Data Engineers who are passionate about building the best possible solutions for our clients and endorse a culture of life-long learning and collaboration. 

Qualifications

 Expertise with one or more of Java (preferable) and Scala programming languages 

·      Good experience with Data related technologies, to include Big Data and data-related Cloud services (GCP/Azure/AWS) 

·      Good hands-on experience in at least one distributed data processing framework e.g. Spark (Core, Streaming, SQL), Storm, Flink etc 

·      Good data modelling experience to address scale and read/write performance 

·      Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, Mongo DB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc. 

·      Working knowledge of data platform related services on at least 1 Cloud platform to cover IAM and data security 

·      Hands-on skills - building DevOps pipelines for data solutions, automated testing 

Additional Information

Sound awareness of the larger data technology ecosystem including Hadoop, open-source frameworks as well as cloud services across batch and stream processing 

·      Experience in tuning and optimizing big data solutions 

·      Experience in data security (at-rest/in-transit) 

·      Knowledge of distributed messaging frameworks like ActiveMQ / RabbitMQ / Solace/ Kafka, search & indexing and Microservices architectures 

·      Exposure to data governance, catalog, lineage and associated tools 

·      A certification in one or more cloud platforms or big data technologies 

·      Demonstrated participation in the Data Engineering thought community (e.g. blogs, keynote sessions, POV/POC, hackathons)