Brief Description of position:

Publicis Sapient Overview

 

We at Publicis Sapient, enable our clients to thrive in Next and to create business value through expert strategies, customer-centric experience design, and world-class product engineering.  

The future of business is disruptive, transformative and becoming digital to the core.

In our 20 + years in IT, never before have we seen such a dire need for transformation in every major industry - from financial services to automotive, consumer products, retail, energy, and travel.

To make this transformative journey a reality in these exciting times, we seek thought leaders and rock stars who will: 

• brave it out to go do the next; “what will be” from “what is”
• exhibit the optimism that says there is no limit to what we can achieve 
• deeply-skilled, bold, collaborative, flexible
• Reimagine the way the world works to help businesses improve the daily lives of people and the world. 

Our people thrive because of the belief that it is both our privilege and responsibility to usher our clients and the world into Next.  

Our work is fueled by 

• challenging boundaries, 
• multidisciplinary collaboration, 
• highly agile teams, and 
• the power of the newest technologies and platforms.  

If that’s you, come talk to us!

This is the world-class engineering team where you should build your career.

Job Summary: 

As Associate L2 in Data Engineering, you will implement components for data engineering solution. The role requires a hands-on technologist with programming background like Java / Scala / Python, should be capable to write code for data Ingestion, Integration, Computation and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Processing and Integration
• Data Storage and Computation Frameworks
• Infrastructure & Cloud Computing
• Build functionality for data ingestion from multiple heterogeneous sources
• Build functionality for data analytics, search and aggregation

Experience Guidelines: 

Mandatory Experience and Competencies: 

#	Competency
1	Overall 2+ years of IT experience with 1+ years in Data related technologies
2	Minimum 1 year of experience in Big Data technologies
3	Hands-on experience with the Hadoop stack – HDFS, sqoop, Kafka, Spark, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.
4	Working experience in at least of the programming language Java, Scala, Python. Java preferable

Preferred Experience and Knowledge (Good to Have):

#	Competency
1	Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres)
2	Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
3	Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
4	Working knowledge with data platform related services on any 1 cloud platform

Personal Attributes: 

• Strong written and verbal communication skills
• Articulation skills
• Good team player
• Self-starter who requires minimal oversight
• Ability to prioritize and manage multiple tasks
• Process orientation and the ability to define and set up processes