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Job Location drjobs

Fort Lauderdale, FL - USA

Monthly Salary drjobs

125000

Job Description

We are seeking a Data Engineer for a fulltime and direct hire role for one of our amazing partners in the Fort Lauderdale FL area. This is a hybrid role that will require you to work onsite 3 days a week.


You will help build an exciting new product that will revolutionize digital marketing at a fastpaced startup under the umbrella of an established and successful business and leadership team. They make a platform that combines proprietary technology datadriven business intelligence and sophisticated digital marketing to enable large media companies and agencies to scale their focused ad sales effortlessly. They are one of the leading providers of data and marketing resources. They have been named one of the Best Companies to Work for and have earned a Top Workplace award 4 years in a row.


Responsibilities:

  • Responsible for designing constructing and sustaining robust data pipelines to efficiently collect process and transform data from diverse sources into usable formats.
  • Craft and manage data models to guarantee data accuracy consistency and scalability across their systems.
  • Develop and refine the ETL processes to facilitate the seamless movement and transformation of data.
  • Integrate data from various systems and sources to make sure that data quality and reliability are upheld.
  • Manage and optimize their data warehousing solutions which are critical for supporting business reporting and analytics.
  • Ensure strict compliance with data governance policies by implementing rigorous data quality checks and data validation processes.
  • Do performance tuning to optimize database and query performance to ensure speedy and efficient data retrieval.
  • Maintain documentation of data pipelines processes and comprehensive data dictionaries.
  • Collaborate closely with data scientists analysts and other stakeholders to fully understand data requirements and to provide tailormade solutions that meet their evolving business needs.
  • Proactively identify and address datarelated issues by implementing robust monitoring solutions and troubleshooting them.


Required Experience:

  • 46 years of handson experience as a Data Engineer or in a similar role
  • Proficient in SQL and at least one programming language (e.g. Python Java Scala).
  • Strong and indepth knowledge of data integration tools and ETL processes.
  • Strong understanding of data warehousing and both SQL and NoSQL database systems.
  • Familiar with cloudbased data platforms like Google Cloud (GCP) AWS or Azure.
  • Familiar with data governance and security best practices.
  • Experience with data visualization tools like Looker or Power BI is a plus.
  • Bachelors or masters degree in computer science Information Technology or a related field.


All qualified applicants will receive consideration for employment without regard to race color national origin age ancestry religion sex sexual orientation gender identity gender expression marital status disability medical condition genetic information pregnancy or military or veteran status. You must be legally authorized to work in the United States without current or future sponsorship.


My notes:

  • Role: This is a midlevel role working with Centrifibut will be using information from Site Impact and Centrifi. They will report to the Data Scientist that we just placed in July and with a Data Analyst that they are still putting the job description together for (we will help with that too). Centrifi is about to launch their product on 7/30/2024 so likely before this person starts. It is an endtoend sales enablement tool to help their agency partners sell locally and has the potential to disrupt the market in a good way. Its a platform that combines proprietary technology datadriven business intelligence and sophisticated digital marketing to enable large media companies and agencies to scale their focused ad sales effortlessly. Their 3rd party and internal team helped with the current data architecture and everything is in Google Cloud (GCP). This is also a brandnew product with the potential to disrupt the market. You will be working closely with the Centrifi development team the feature engineering team and the product team. You will also work with Site Impact team too. (We will get more info if one of their referrals dont fill the role).
  • Must have skills: midlevel Data Engineer experience. SQL. They will need exposure to programming languages like Python Java or Scala but there is no preference. Experience with cloud based data platforms (GCP is the preference but its not required). They will likely figure out what is truly needed during the interview process.
  • Personalities: Exceptional problemsolving skills with excellent attention to detail. Effective communication and collaboration skills in a teamoriented environment.
  • Fall short: Tara hasnt even touched this role yet. She just got approval to get this started and hasnt even posted yet. She doesnt have enough bandwidth which is why she needs our help.
  • Salary/Bonus: $125K$140K plus 5% bonus. They also have an annual bonus based on hitting metrics (50% company and 50% individual).
  • Interview process: Not sure exactly but she would like to involve Lan. Im sure theyll meet with the VPs and CTO as well.
  • Anyone in consideration: she has a few referrals and working through that first. Theres 4 of them and hopes to have it done by middle of next week.
  • Priority: #2
  • Data Engineer vs Data Scientist: Data engineers focus on building maintaining and optimizing data pipelines and infrastructure. They design systems for data collection such as databases and largescale processing systems and deal with raw data that may contain errors. Data engineers need technical skills like coding and understanding data warehouse architectures. Data scientists use the outputs of data pipelines to access and analyze data. They clean organize and interpret data using statistics or machine learning algorithms to build models and identify patterns and trends. Data scientists need skills in statistical analysis business intelligence and communication. They should also be good team leaders and analytical professionals.
  • Remote/Onsite: Most employees work a hybrid onsite schedule. Everyone is there on Tuesday and Thursday but has their choice of the 3rd day (most choose TuesThur). Management is required to come onsite 5 days a week though.

Company Notes:

Official Job Description:

Data Engineer Centrifi

Job Details

  • Level: Experienced
  • Job Location: Corporate Headquarters Coconut Creek FL
  • Education Level: 4 Year Degree

About Us

Centrifi a division of Site Impact offers a unique platform that combines proprietary technology datadriven business intelligence and sophisticated digital marketing enabling large media companies and agencies to scale their focused ad sales effortlessly. We have combined our ability to take inmarket audiences and merged that data with analytics from websites and digital media to bring a game changer to digital media as we know it. We round that out with our bestinservice plan that includes cost savings and faster turnaround times for our clients.

Join our team and be part of an innovative and dynamic environment where you can make a meaningful impact.

About You

Responsibilities:

  • Data Pipeline Development: You will be responsible for designing constructing and sustaining robust data pipelines. These pipelines will efficiently collect process and transform data from diverse sources into usable formats.
  • Data Modeling: Craft and manage data models to guarantee data accuracy consistency and scalability across our systems.
  • ETL (Extract Transform Load): Develop and refine ETL processes to facilitate the seamless movement and transformation of data.
  • Data Integration: Work on integrating data from various systems and sources making certain that data quality and reliability are upheld.
  • Data Warehousing: Manage and optimize our data warehousing solutions which are critical for supporting business reporting and analytics.
  • Data Quality and Governance: Implement rigorous data quality checks data validation processes and ensure strict compliance with data governance policies.
  • Performance Tuning: Take charge of optimizing database and query performance to ensure speedy and efficient data retrieval.
  • Documentation: Maintain meticulous documentation of data pipelines processes and comprehensive data dictionaries.
  • Collaboration: Collaborate closely with data scientists analysts and other stakeholders to gain a deep understanding of data requirements and provide tailormade solutions that meet our evolving business needs.
  • Monitoring and Troubleshooting: Proactively identify and address datarelated issues by implementing robust monitoring solutions.

Required Experience:

  • Bachelors or Masters degree in Computer Science Information Technology or a related field.
  • Demonstrated experience as a Data Engineer or in a similar role boasting 46 years of handson experience in data engineering.
  • Proficiency in SQL and at least one programming language (e.g. Python Java Scala).
  • Indepth knowledge of data integration tools and ETL processes.
  • Strong grasp of database systems (both SQL and NoSQL) and data warehousing.
  • Familiarity with cloudbased data platforms such as AWS Azure or Google Cloud.
  • Exceptional problemsolving skills with meticulous attention to detail.
  • Effective communication and collaboration skills in a teamoriented environment.
  • Familiarity with data governance and security best practices.
  • Experience with data visualization tools like Looker or Power BI is a plus.

Remote Work :

No

Employment Type

Full Time

About Company

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