Who You'll Work With :
You'll be part of our Data Analytics team in one of our locations in Gurgaon or Chennai.Our Data Analytics team provides analytics insights to consulting teams and clients across the globe.The team is predominantly composed of data scientists and data engineers who are not dedicated to any specific industry or functional knowledge domain, but rather work across a variety of industries, functions and analytics methodologies.
What You'll Do :
-You will work directly with our Client Service Teams globally and be a part of analytics focused engagements based on data engineering and big data.
-Your role will be that of a subject matter expert on data engineering, cloud engineering and Big Data platforms,and will involve working closely with our clients and consultants to curate, transform and construct schemas and features based on multi-source client data.You will also be responsible for -
-Working with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
-Acquiring, ingesting, and processing data from multiple sources and systems into Big Data and cloud platforms
-Collaborating with our data scientists to map data fields to suitable schemas and thereby enabling faster querying and advanced modelling
-Defining and guiding our clients on need based technology stack and implementation in production environment.
-Use new and creative techniques to deliver impact for our clients as well as internal R&D projects
-You'll have the opportunity to gain new skills and build on the strengths you bring to the firm.Our analysts receive exceptional training as well as frequent coaching and mentoring from colleagues on their teams.
-University degree in Computer Science, Engineering, Applied Mathematics or related fields with an excellent academic record; advanced degree preferred
-7+ years of relevant work experience working on at least two of the following technologies Python, Scala, SQL, Java
-Hand-on experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
-Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
-Experience and expertise in Cloud platforms such as AWS, Azure, Google Platform, Databricks
-Experience in traditional data warehousing/ETL tools (Informatica, Talend, Pentaho, DataStage)
-Commercial client-facing project experience is helpful, including working in close-knit teams
-Ability to work collaboratively in a team environment and mentoring and training junior members in the team
-Confirmed ability in clearly communicating complex solutions