Base: $6,000 – $10,000 pm; bonus/equity: not speci...
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Python and sql skills with production-grade pipelines
Aws infrastructure management including redshift and s3
Direct experience with capital iq and factset data sources
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RANDSTAD PTE. LIMITED is seeking a Data Engineer to architect and oversee the investment data infrastructure within the banking and financial services sector. The role requires expertise in Python, SQL, and AWS, with a focus on building data solutions that support investment analysis and decision-making.
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Job Summary
This newly created role serves as the primary architect for the firm's investment data infrastructure within a fast-paced banking environment.
The successful candidate will design and oversee the data warehouse while automating ingestion processes for critical financial vendors like Capital IQ and FactSet.
The position offers a competitive monthly salary ranging from $6,000 to $10,000 along with company perks and benefits.
Matching Summary
Match Score: 75
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RANDSTAD PTE. LIMITED is seeking a Data Engineer to architect and oversee the investment data infrastructure within the banking and financial services sector. The role requires expertise in Python, SQL, and AWS, with a focus on building data solutions that support investment analysis and decision-making.
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Salary
Base: $6,000 – $10,000 per month; Bonus/Equity: Not specified; Benefits: Company perks included
Skills & Requirements
Must-have
Python and SQL skills with production-grade pipelines
AWS infrastructure management including Redshift and S3
Direct experience with Capital IQ and FactSet data sources
Experience building data warehouses in Postgres or Supabase
Nice-to-have
Familiarity with Bloomberg terminal data integration
Experience developing Power BI, Tableau, or Streamlit dashboards
Background in translating investment hypotheses into technical specs
Knowledge of implementing rigorous data security practices
Key Requirements
At least 4 years of working experience in Python and SQL
Prior experience in the investment or banking sector
Proven track record of maintaining production-grade data pipelines