Data Engineer

PT.Tokopedia
Kota Administrasi Jakarta Selatan, Indonesia
Industri :
Internet
Posisi yang dibuka: 0
Total seluruh posisi: 33
Posted : 01 November 2021 00:00 WIB tutup - 31/12/2021 00:00 WIB
Spesialisasi : Teknologi Informatika
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Jenjang : Sarjana/S1
Program Studi :
  • Teknik informatika / informatics
  • Sistem informasi / information system
  • Sistem komputer / computer system
  • Teknik komputer / computer engineering
  • Manajemen informatika

Skill Sets:

  • Exposure to a traditional RDBMS with a preference for Postgres, and MySQL.

  • Ability to perform data transformations via scripting, stored procedures, or an ETL framework.

  • Able to do light development and support most aspects of a big data cluster:  Ingestion, Processing, Parsing, integration (Python, Spark, Scala), data movement, workflow management (OOZIE, ActiveBatch and Airflow), and querying (SQL).

  • Ability to read and understand at least one of following programming languages: Java, Python, Go, and Scala

  • Some ability to perform light to medium development in Apache DataFlow, Apache Spark.

  • Able to navigate Unix and Linux operating systems

  • Capable of navigating and working effectively in a DevOps model including leveraging related technologies:  Jenkins, GitLab, Git, etc….

  • Some experience with SQL and Data warehousing solution


Education:

  • A Bachelor’s Degree in Computer Science or related field preferred

  • 1+ years of Data Integration experience.

  • 1+ years of hands on experience with one of the following technologies:  Hadoop, Apache Spark, SQL or Redshift or PostgreSQL

  • Having experience in GCP Product like Bigquery, Dataflow, PubSub, Bigtable, Composer, GCS is a plus

Level Masuk : Entry Level
Penempatan : -
Tipe Pekerjaan : Penuh Waktu
Deskripsi Pekerjaan :
  • Modify existing structured and unstructured data integration solutions for rapidly evolving business needs.

  • Perform smaller to medium complexity development activities for structured and unstructured data including ingestion, parsing, integration, auditing, logging, aggregation, normalization, and error handling.

  • Collaborate with a cross functional team to resolve data quality and operational issues.

  • Create conceptual models and data flow diagrams.

  • Participate with end users to gather requirements and consult on data integration solutions.

  • Receive and adhere to project delivery deadlines.  

  • Migrate code across environments and leverage a source code management system.

  • Develop and maintain proper documentation for data pipeline and service


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    Ditulis Oleh Heny Kurniati Dilihat 290 kali