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İstanbul(Avr.), İstanbul(Asya)

İş Yerinde

İş Yerinde

Job Type

Full-Time

Position Level

Specialist

Department

IT

IT

Application Count

196 application

Job Type

Full-Time

Position Level

Specialist

Application Count

196 application

Department

IT

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QUALIFICATIONS AND JOB DESCRIPTION

We are establishing a new team to find answers to many questions in the business world with data. Big Data engineer will be responsible for building and maintaining the state-of-the-art Big data infrastructure that makes this data available and accessible to the company to make data driven decisions. The team works closely with Data scientists and other key parts of the business across the firm to understand their data requirements and build appropriate systems and platform that meet or exceed those needs. Big data Engineering (BDE) is committed to being an early adopter and contributor to open source big data technologies. Engineers are encouraged to think out of the box and play with latest technologies and explore their limits. 


We are currently seeking "Big Data Engineer ."

QUALIFICATIONS:

  • BS, MS or PhD in Computer Science or related technical discipline or equivalent practical experience.

  • BS and 3+ years of relevant work experience.

  • 2+ years of experience in software design, development, and algorithm related solutions.

  • Working experience with Hadoop projects/infrastructure.

  • Experience in the Big Data technologies (Hadoop, M/R, HDFS, Kafka, Pig, Hive, Flume, Sqoop, Presto, etc.)

  • Experience on at least one of these programming languages: Java; Python; Scala.


PREFERRED QUALIFICATIONS:

  • Experience implementing best practices in Big Data space.
  • Experience working extensively in Big data environment.
  • Experience in engineering large-scale systems in a product environment with understanding of Distributed systems design.
  • Experience in Algorithmic development and implementation.
  • Ability to write, analyze, and debug SQL queries.
  • Exceptional Problem solving and analytical skills.
  • Experience with Big data design, ETL (Extraction, Transformation & Load), architecting efficient software designs for Big data platform.
  • Experience building data infrastructure, frameworks and automation is a big plus.
  • Knowledge of database modeling and design. Able to perform data analysis, ingestion and integration.
  • Knowledge of NoSQL stores is a plus.
  • Ideal candidates will have a deep understanding of technical and functional designs for Databases, Reporting, and Data Mining areas.
  • Strong communication and collaboration skills.
  • Knowledge on scripting languages (Bash Scripting, ruby) is a plus.
  • Knowledge of NOSQL databases: HBase, Cassandra , MongoDB.
  • Knowledge on basic Operating Systems’ commands (Unix, Linux)
  • Strong project management skills.
  • Passion for about continuous learning, experimenting, applying and contributing towards cutting edge open source Big Data technologies and software paradigms.


RESPONSIBILITIES:

  • Contribute to the Big data design and data preparation by implementing a solid, robust, extensible design that supports key business flows.
  • Performing all of the necessary data transformations to populate data into a Big data environment that is optimized for reporting.
  • Establishing efficient design and programming patterns for engineers as well as for non-technical peoples.
  • Designing, integrating and documenting technical components for seamless data extraction and analysis on big data platform.
  • Ensuring best practices that can be adopted in Big Data stack and share across teams and Business Units.
  • Providing operational excellence through root cause analysis and continuous improvement for Big Data technologies and processes and contributes back to open source community.
  • Working in a team environment, interact with multiple groups on a daily basis

If you believe that this is the right time to challenge yourself, you are very welcome to our Team!

Preferred Candidate

2 - 10 years of experience
Bachelor’s(Graduate), Master’s(Student), Master’s(Graduate), Doctorate(Student), Doctorate(Graduate)
Completed, Exempt, Delayed
English(Reading : Advanced, Writing : Advanced, Speaking : Advanced)

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