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Jobs in Bremen, USA

Data Engineer

Highbrow LLC

Deutschland
Remote
EUR 60.000 - 80.000
Vor 25 Tagen
Ich möchte über neue Stellenangebote in Bremen benachrichtigt werden.

Amazon CodeWhisperer Consultant ( US Citizens & GC Holders)

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EUR 40.000 - 60.000
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Administrative Assistant

infinity landscape construction

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EUR 30.000 - 40.000
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Centura Business Analyst (only for USC & GC Holders)

Highbrow LLC

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EUR 60.000 - 75.000
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discover more jobs illustrationEntdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen. Jetzt mehr Stellenangebote entdecken

Senior Java Backend & DevOps Engineer (Gaming, High-Scale Systems)

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EUR 70.000 - 90.000
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JOTEC GmbH 2016

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EUR 45.000 - 60.000
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Centura QA Analyst (only for US Citizens & GC Holders)

Highbrow LLC

Deutschland
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EUR 50.000 - 70.000
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Highbrow LLC

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EUR 70.000 - 90.000
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Account Manager (m/w/d) Oberpfalz/Niederbayern

Murrelektronik GmbH

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Remote
EUR 50.000 - 70.000
Vor 25 Tagen
Data Engineer
Highbrow LLC
Remote
EUR 60.000 - 80.000
Vollzeit
Vor 25 Tagen

Zusammenfassung

A technology company is looking for a Data Engineer to work remotely. The ideal candidate will have over 5 years of experience in data warehousing, especially with Azure and Snowflake, and proficient in T-SQL for queries. Responsibilities include analyzing solutions, enhancing ETL processes, and creating dashboards with Power BI and Excel. Strong communication skills are required to present findings to management. A Bachelor's degree in Computer Science is preferred.

Qualifikationen

  • 5+ years’ experience in a data warehouse team environment.
  • Strong data warehousing experience with Azure, Databricks, and Snowflake.
  • Demonstrated strength with querying Snowflake with T-SQL.

Aufgaben

  • Analysis, design, coding, and implementation of data warehousing solutions.
  • Evaluation, maintenance, and enhancement of existing ETL processes.
  • Creation of BI dashboards using Power BI and Excel.

Kenntnisse

Data warehousing experience
Azure
Snowflake
T-SQL
Microsoft SQL Server
Power BI
Python
Excellent writing skills

Ausbildung

Bachelor's Degree in Computer Science or related field

Tools

Power BI
Databricks
SSIS
Azure Data Factory
Jobbeschreibung

Job Title: Data Engineer

Job ID: 2023-12455

Job Location: Remote (EST only)

Job Travel Location(s): N/A

# Positions: 1

Employment Type: W2

Candidate Constraints:

Duration: Longterm

# of Layers:0

Work Eligibility:All Work Authorizations are Permitted – No Visa Transfers

Key Technology: Data Warehouse, Azure, Snowflake
Job Responsibilities
  • Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions.
  • Evaluation, maintenance, and enhancement of existing ETL processes.
  • Creation of BI dashboards and workbooks using Power BI and Excel.
  • Code data ingest solutions (Python, Databrick Notebooks, NodeJS) leveraging 3rd party APIs.
  • Daily triage of bugs and tasks.
  • Create documentation for applications and processes.
  • Enforce best practices in all aspects of work and evaluate new data warehousing platforms and solutions.
Skills and Experience Required

Required

  • 5+ years’ experience in a data warehouse team environment.
  • Strong data warehousing experience with Azure (and GCP and AWS), Databricks, and Snowflake.
  • Demonstrated strength with querying Snowflake and other DBs with T-SQL for database queries, procedures, tables, views, etc.
  • Advanced level of experience with Microsoft SQL Server, Azure, and SSMS (Management Studio)
  • Hands-on experience with SSIS, Azure Data Factory, Azure Databricks, and Snowflake
  • Proven skills with data visualization tools: Microsoft Excel (PowerPivot, Pivot Tables, Slicers) Power BI
  • Experience with storage devices and connectivity tools such as AWS development tools
  • A basic understanding of HTML, CSS, and web page deployment.
  • Excellent written and verbal skills and the ability to present to upper management.
  • A good understanding of basketball.

Desired

  • Experience working with DBT and/or FiveTran
Educational Background
  • Bachelors Degree in Computer Science or related field preferred
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