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Data Engineer at Benzinga

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Michigan (USA), United States

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or Engineering., 3+ years of experience in data engineering., Strong experience with cloud platforms and data warehousing., Proficiency in Python and advanced SQL skills..

Key responsabilities:

  • Design and optimize scalable data pipelines.
  • Build and maintain reliable ETL processes.

Benzinga logo
Benzinga SME https://www.benzinga.com/
51 - 200 Employees
About Benzinga
We help millions of people improve their trading and investing results each month by providing superior market information, data and tools. Benzinga gives traders and investors the edge needed to profit in the markets. We are devoted to the ambitious mission of transforming the financial industry and empowering the individual investor. Benzinga's core businesses include: Financial Media: http://benzinga.com Trading & Research Terminal: http://pro.benzinga.com Financial, Market, and Alternative data APIs: http://cloud.benzinga.com Our KICK ASS team works and hustles harder than anyone! We are looking for folks with the fire and determination to not just work, but to build a company. Individuals who can take a vision, and build towards it...not just take tasks from a higher power. The search for the driven, dedicated, and self-starting Zingers to help propel Benzinga to the next level is on! Are you looking for your work to be valued? Do you want to know that the work you do everyday makes a huge impact on the business? You are not just a number here at Benzinga, our “leave your ego at the door”, teamwork-oriented environment allows you to be yourself and offer all your sweetest ideas and feedback freely without any judgement. Zinger Nation believes in "doarchy"​ not "hierarchy"​. If you are interested in doing business with Benzinga or joining the team, please contact us. Check our careers site at jobs.benzinga.com
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Job description

Benzinga is seeking an experienced Data Engineer to join our Data Science team. In this role, you will be responsible for designing, building, and maintaining the systems that collect, store, and process our vast amounts of web traffic, advertising, financial, and product usage data. Your expertise and collaboration with the Data Science team will be crucial in ensuring the integrity, availability, and performance of our data platforms, enabling our team members and partners to make data-driven decisions.

Key Responsibilities:

● Design, develop, and optimize scalable data pipelines to support data collection, transformation, and storage.
● Build and maintain efficient and reliable ETL processes to ingest data from various sources into our data warehouse.
● Ensure data integrity, quality, and security across all data systems and processes.
● Collaborate with stakeholders to understand data needs and deliver solutions that meet business requirements.
● Monitor and troubleshoot data pipeline performance, addressing any issues that arise promptly.
● Implement best practices for data governance, including metadata management, data cataloging, and data privacy compliance.
● Stay current with emerging technologies and trends in data engineering and apply them to improve our data infrastructure.

Qualifications:

- Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience. A master’s degree is a plus.
- 3+ years of experience in data engineering, software development, or a related role
- Strong experience with cloud platforms like AWS, Google Cloud Platform, or Azure, and familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery.
- Solid understanding of database systems (SQL and NoSQL) and experience with data modeling and schema design.
- Experience with data pipelines or ETL tools such as DBT, Dataform, or Apache Airflow
- Advanced SQL skills
- Proficiency in Python or other programming languages

Preferred Experience:
- Experience using Segment or a similar CDP tool
- Exposure to web application, marketing, or advertising data
- Experience in the financial services or media industry.

      Required profile

      Experience

      Level of experience: Mid-level (2-5 years)
      Spoken language(s):
      English
      Check out the description to know which languages are mandatory.

      Hard Skills

      ETL (Extract Transform Load)Data EngineeringPython (Programming Language)SQL (Programming Language)Amazon RedshiftData ModelingSnowflake (Data Warehouse)Google Cloud Platform (GCP)NoSQLAmazon Web ServicesBigQueryApache AirflowMicrosoft AzureMarket DataSegment (Software)Advertising OperationsApplication Data

      Other Skills

      • Collaboration
      • Problem Solving
      Are you interested?

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