Sr. Data Engineer - (Big Data, Spark, Scala, Python, AWS, RDBMS, SQL)

Nielsen is a global measurement and data analytics company with nearly 14,000 associates.
Data
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
6+ years of experience
AI · Enterprise SaaS

Description For Sr. Data Engineer - (Big Data, Spark, Scala, Python, AWS, RDBMS, SQL)

Nielsen is seeking a Sr. Data Engineer to join their team of nearly 14,000 associates. This role focuses on building scalable, reliable, and cost-effective solutions for both Cloud and on-premises environments. The ideal candidate will have expertise in Big Data technologies, cloud architecture, and software development.

Key responsibilities include:

  • Developing Cloud-based applications and reusable components
  • Implementing end-to-end Big Data analytics solutions
  • Driving innovative solutions within the platform
  • Collaborating with Data Science teams and product owners
  • Mentoring junior team members

Required skills:

  • 4-8 years of experience in IT solutions development
  • Strong cloud implementation expertise
  • Experience with Big Data technologies (Spark, Hadoop)
  • Proficiency in Java or Scala, AWS, Docker, and RDBMS
  • Knowledge of orchestration tools like Apache Airflow
  • Agile scrum experience

This role offers the opportunity to work on cutting-edge technologies, collaborate with diverse teams, and contribute to Nielsen's data-driven solutions. The position is based in Bangalore, India, with a hybrid work arrangement.

Join Nielsen to fuel your career growth, explore fresh approaches, and be part of a community that champions your success. Apply now to power Nielsen's future with your expertise in data engineering and cloud technologies.

Last updated 4 months ago

Responsibilities For Sr. Data Engineer - (Big Data, Spark, Scala, Python, AWS, RDBMS, SQL)

  • Build scalable, reliable, cost-effective solutions for Cloud and on-premises
  • Develop Cloud-based applications for new and existing backend systems
  • Create reusable code and components for multiple project teams
  • Implement end-to-end Big Data analytics solutions
  • Drive innovative solutions within the platform
  • Develop design specifications and continuous build/deployment strategies
  • Provide cloud integration development support
  • Build rapid technical prototypes for early customer validation
  • Collaborate with Data Science teams and product owners
  • Translate complex business requirements into technical solutions
  • Mentor junior team members
  • Stay informed about the latest technology and methodology
  • Cultivate a team environment focused on continuous learning

Requirements For Sr. Data Engineer - (Big Data, Spark, Scala, Python, AWS, RDBMS, SQL)

Java
Python
Scala
  • Bachelor's degree in computer science or engineering
  • 4-8 years of experience in IT solutions development
  • Strong cloud implementation expertise
  • 3+ years of experience with big data using Apache Spark
  • Experience in software development using Java or Scala
  • Knowledge of Big Data technologies (Hadoop, Spark, Spark SQL, Presto, Hive)
  • Experience with AWS cloud services
  • Proficiency in Docker, RDBMS (Postgres and/or Oracle), Linux, Shell scripting
  • Experience with GitLab, Airflow, Cassandra & Elasticsearch
  • Strong knowledge of Unix/Linux OS, commands, shell scripting, Python, JSON, YAML
  • Agile scrum experience in application development
  • Strong knowledge of AWS services (S3, EC2, EMR, Lambda)
  • Experience with data warehouses or data lakes
  • Very strong verbal and written communication skills
  • Advanced analytical and technical skills in troubleshooting and problem resolution

Interested in this job?

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