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Senior Data Engineer
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17 days ago15 views
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Degree: Bachelors or Masters in Computer Science, Data Engineering, or something that required way too many all-nighters
Experience: 5+ years building and maintaining data systems that actually work (Monica would be so proud)
Tech Stack: Python, SQL, Airflow, dbt, Spark you know, the gang that gets things done
GCP Superpowers: BigQuery, Dataflow, Pub/Sub youve tamed them like Ross tamed dinosaurs (okay, "tried" to)
Credit Know-how: You speak fluent "loan origination, risk, and repayment" like Phoebe speaks fluent Smelly Cat
Soft Skills: You think like a strategist (Ross), build like Monica, joke like Chandler, and keep cool under pressure like Joey before an audition
In Other Words...
This isnt just another gig its your Central Perk of data. Youll join a crew that laughs through the chaos, celebrates every fix, and knows that every great system starts with a really good cup of coffee.
So if youre ready to architect the maze, build something legendary, and maybe shout "Pivot!" a few times along the way
Apply now this could be the one where you land your dream job.
Contact Chelsea Fisher on
https://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1238826-Job-Search-11-12-2025-10-12-04-AM.asp?sid=gumtree
Id Subtitle 1342382057
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Executive Placements
Selling for 10+ months
Total Ads4.78K
Active Ads4.78K
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Key Responsibilities:Collect, extract, and compile data from multiple sources, ensuring accuracy and consistency.Clean and transform raw data into structured, usable datasets.Conduct exploratory and statistical analysis to identify trends and patterns.Build and maintain scorecards, models, and reports to support decision-making.Use data visualization techniques to present insights clearly to stakeholders.Provide analytical support for projects, including market analysis, customer segmentation, and performance tracking.Identify opportunities to streamline processes, increase efficiency, and optimize revenue.Stay up to date with emerging technologies, tools, and best practices in data science and analytics.Requirements:Bachelors or Masters Degree in Mathematics, Computer Science, Data Analytics/Science, or a related field.5 years of proven experience as a Data Scientist or in a similar role, preferably within credit or financial services.Proficiency in Google Cloud Platform (GCP), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker.Strong analytical and problem-solving skills with experience handling large datasets.Solid knowledge of statistical analysis and data modelling.Excellent communication and presentation skills.Strong working knowledge of Microsoft Excel and other data manipulation tools.Familiarity with data governance and awareness of data privacy regulations is a plus.Whats in it for You?:A chance to work in a high-growth, innovative environment.Opportunities to make a tangible impact through data-driven decision-making.Continuous professional development and learning opportunities. Dont miss out - apply today!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1219303-Job-Search-12-02-2025-00-00-00-AM.asp?sid=gumtree
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Job Placements
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We are currently seeking an office administrator / junior bookkeeper to join our team. Our business regards retail, and work may take place proximal to retail environments. The ideal candidate should have a good background in accounting / bookkeeper. Very high computer literacy is necessary, excellent familiarity with spreadsheets, data input, written communications, basic reports.Some years experience and / or tertiary education in Accounting / bookkeeping is preferable. As is a strong attention to detail and organisational skills.Salary starting eight to ten thousand, but is negotiable on merit. If you meet the above requirements and are interested in this position, please send your resume. If you don't hear from us within two weeks please assume the position has been filled. We look forward to hearing from you.
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