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IT Services, Managed Services, Cybersecurity, Cloud Computing

Data Engineer with Big Data & GCP - W2 Only

New York, New York, United StatesOnsiteContract$50–$50 /hrPosted 2 months agoVisa sponsorship available

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Role summary

Seeking a Data Engineer with 4-6 years of experience in Big Data technologies and BI tools, specifically on the Google Cloud Platform (GCP). The role requires hands-on expertise with GCP services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and Cloud Functions. Proficiency in Python and SQL for data ingestion, processing, and manipulation is essential, along with experience in ETL/ELT processes and data modeling. Familiarity with CI/CD practices, Git, Jenkins, and backend platform data connectors (relational/non-relational databases, APIs) is also expected. This is an onsite, contract position in New York, NY.

The following requirement is open with our client.

Title
: Data Engineer with Big Data & GCP

Location : New York, NY

Duration : 12+ Months

Rate : $50/hr on W2

Relevant Experience (in Yrs.): 7+

Detailed Job Description:

  • 4-6 years of Data Engineering experience with proven hands-on experience in Big Data technologies and Business Intelligence tools.
  • Understanding of Agile or other rapid application development methods. Exposure to design and coding across one or more platforms and languages as appropriate.
  • Exposure to application design, software development, and automated testing methodologies.
  • Experience with CI/CD practices using Git, Jenkins, and code integration/review processes.
  • Backend platform: Experience building data connectors with relational & nonrelational backend databases including MongoDB, PostgreSQL, and custom API Connectors.
  • Google Cloud Platform Expertise: Hands-on experience with GCP services like Big Query, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer (Airflow DAGs), and Cloud Functions.
  • Strong proficiency in Python and SQL for data ingestion, processing, and manipulation.
  • Experience with ETL/ELT processes and data warehousing concepts.
  • Data Modeling: Understanding of data modeling principles and techniques.
  • Cloud Technologies: Knowledge of cloud computing concepts and standard processes

Must skills:

  • Data Engineer
  • Big Data, Big Query
  • BI Tools, ETL/ELT
  • SQL, GCP
  • Python
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