Data Engineer

NielsenIQ

1d

About The Position

As a Data Engineer, you’ll be part of a team which works with cutting-edge technologies such as Spark, (Scala & Pyspark), python, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools. Responsible to maintianing & assembling data pipelines that consume large datasets, runs the complex data transformations that are needed to generate the facts for the clients. Responsible for integrating finished models into the pipelines that also helps in building the insights for the customer. Use your spark skills to optimize spark code (including data science models). Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies Write and maintain documentation for features you work on & transition them to L2 support.

Requirements

• Minimum 5-8 year of experience as Data engineer
• Experience modeling or manipulating large amounts of data is a must
• Hands-on experience as a data engineer
• Highly proficient in using the spark framework (python and/or Scala)
• Programming experience in Python/scala, SQL
• Direct experience of building data pipelines using Apache Spark (Databrics/Fabric), Airflow
• Must be team oriented with strong collaboration, prioritization and adaptability skills required
• Ability to write efficient code in terms of performance / memory utilization

Nice To Haves

• Knowledge of Data Warehousing concepts, strategies, methodologies is good to have
• Experience with CI/CD & DevSecOps is a plus
• Experience with Retail business is a plus
• Any cloud certification for Data engineer
• Basic exposure to AI tools will be good to have

Responsibilities

• Maintaining & assembling data pipelines that consume large datasets
• Running complex data transformations needed to generate facts for clients
• Integrating finished models into pipelines to build customer insights
• Optimizing Spark code (including data science models)
• Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources using Azure, Databricks, and SQL technologies
• Writing and maintaining documentation for features and transitioning them to L2 support

Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed