Lead, Big Data Engineer at Orange
Duties and responsibilities:
- Identifying data ingestion patterns and build framework to efficiently ingest the data to our Data Lake
- Write scripts for CI/CD processes to automate build, test and deployment framework
- Build algorithms, prototypes, and proof of concepts
- Research opportunities for data acquisition and new uses for existing data
- Develop data set processes for data modeling, mining and production
- Use current data management technologies and software engineering tools
- Collaborate with data architects, modelers and IT team members on project goals
- Bachelor degree of Engineering in Computer Systems, or Computer Science.
- 2+ years working with Java based applications and open source technologies
- 2+ years data engineering experience supporting high-volume, high-velocity data streams.
- Prior experience in working with Hadoop technologies such as HBase, Hive, Spark is a plus
- Prior experience with relational databases such as MS SQL, Oracle and DB2
- Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation is required
- Ability to use containers like dockers or kubernettes is a plus
- Ability to write SQL queries and use tools such as Hadoop, Tableau, QlikView, and other data reporting tools. Experience in transactional and data warehouse environments using MySQL, Hive, or other database systems. Must deeply understand joins, subqueries, window functions, etc.
- Strong background in working with relational databases like Postgres and NoSQL database like Mongo DB or Cassandra.
Skills and abilities:
- Very good English both written & spoken.
- Good computer skills.
- Past experience in telecom operators and service providers is preferred
- Good knowledge of database systems and BI solutions
- Good programming and debugging skills.
- Good problem solving skills.
- Ability to administer different hardware and operating system solutions.
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- Seniority Young Professional (4 to 7 years)
- Employer type Multinational Company
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- Employer Type Multinational Company
November 20 @ 7:00 pm - November 25 @ 10:30 pm EET