Senior Data Engineer

1 Week ago • 5-5 Years

About the job

SummaryBy Outscal

Senior Data Engineer needed to design, implement and maintain high-performance big data infrastructure. 5+ years experience in distributed computing, Python, SQL, Apache Airflow and Google Cloud Platform is required.

About the job

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets

Job Description :

Senior Data Engineer

One of the most innovative and high-profile teams in News Corp is looking for a seasoned data engineer to help accelerate its vision. The role will involve combining all of News Corp’s data across categories, countries and organizations into a singular view of a customer enabling engagement, measurement and targeting. The HQData Senior Data Engineer will partner closely with product, data & engineering teams to help make this data available and accessible to our businesses, teams and partners in order to drive revenue and improve the customer experience.

Responsibilities

  • Design, implement and maintain high performance big data infrastructure/systems & big data processing pipelines scaling to billions of structured and unstructured events daily
  • Design, implement and maintain deep integration with up-stream systems
  • Monitor performance of the data platform and optimize as needed
  • Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)
  • Support product with the overall roadmap and ensure updates to senior leadership are 100% technically correct.
  • Data analysis, understanding of business requirements and translation into logical pipelines & processes
  • Conduct timely and effective research in response to specific requests (e.g. data collection, summarization, analysis, and synthesis of relevant data and information)
  • Evaluate and prototype new technologies in the area of data processing
  • Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
  • High energy level, strong team player and good work ethic

Technologies we use

  • Google Cloud Platform (Storage, Dataflow, BigQuery, DataStudio, DataTransfer, Composer)
  • Python, R, Spark (PySpark)
  • Kubernetes
  • Airflow
  • Git for source code management
  • Jira

Qualifications

  • BS in Computer Science or other technical discipline
  • 5+ years of experience in designing and developing big data processing systems using distributed computing
  • 5+ years in Python Programming
  • 5+ years experience in SQL
  • 4+ years experience in Apache Airflow
  • Working with REST APIs
  • 5+ years of Hands on experience in Google Cloud Platform
  • Expert knowledge in optimizing complex SQL queries
  • Experience with job orchestration tools
  • An affinity for automation
  • Familiarity with networking and network application programming, including HTTP/HTTPS, JSON, and REST APIs
  • Experience with at least one object oriented language (ex: Java)
  • Strong OO design, data structure, and algorithm design skills

This job is posted with NTS Technology Services Pvt. Ltd.

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About The Company

Karnataka, India (On-Site)

Karnataka, India (Hybrid)

Karnataka, India (On-Site)

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