Senior Data Engineer

1 Month ago • 5-5 Years • Data Analyst

About the job

Job Description

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.
Must have:
  • Big Data Systems
  • Python Programming
  • Google Cloud
  • Apache Airflow
Good to have:
  • Kubernetes
  • REST APIs
  • Object Oriented
  • Network Programming
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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

Bengaluru, Karnataka, India (Hybrid)

Bengaluru, Karnataka, India (Hybrid)

Karnataka, India (On-Site)

Bengaluru, Karnataka, India (Hybrid)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (Hybrid)

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