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NielsenIQ

Compare

3.8

based on 918 Reviews

1 NielsenIQ Data Engineer Job

Data Engineer

NielsenIQ

3.8

based on 918 Reviews

6-11 years

Pune, Chennai

1 vacancy

Data Engineer

NielsenIQ

posted 6d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Backend Big Data Operations Research Genetics

+ 3 more

Job Description

As a Data Engineer, you ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. Right now, our CDAR platform is concentrating on application convergence with latest backend services with Spring boot technologies and leverage Jenkins to support things like CI/CD and integrations. Java 8 is primarily used to extend platform features along with continuing to adopt the best-in-class cloud-native, cloud-agnostic technologies. Our team is co-located and agile, with central technology hubs in Chicago, Madrid, Toronto, Chennai and Pune.

Responsibilities

Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements.
Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies
Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code
Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc.
Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards
Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness: the requirement is on-time with zero defects

Qualifications

Must Have-Minimum 6 year of experience as Data engineer
B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field.
Experience modeling or manipulating large amounts of data is a plus
Experience with Demographic, Retail business is a plus
Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus
Proven experience working as a data engineer
Highly proficient in using the spark framework (python and/or Scala)
Extensive knowledge of Data Warehousing concepts, strategies, methodologies.
Programming experience in Python, SQL, Scala
Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow.
Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake
Experience with big data technologies (Hadoop)
Databricks & Azure Big Data Architecture Certification would be plus
Must be team oriented with strong collaboration, prioritization, and adaptability skills required
Ability to write highly efficient code in terms of performance / memory utilization
Basic knowledge of SQL; capable of handling common functions
Strong oral and written communication skills