Saransh Inc

Lead Data Engineer - Asset Management - “New York, NY” [100% Onsite].

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Asset Management, based in “New York, NY” for a long-term contract. Requires 8+ years in ETL/ELT, SQL, Python, and Big Data, with specific experience in financial services and production support.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Scala #GIT #Redshift #Code Reviews #Big Data #Documentation #Programming #SNS (Simple Notification Service) #Data Engineering #SQS (Simple Queue Service) #Cloud #Lambda (AWS Lambda) #Automation #MySQL #Hadoop #Spark (Apache Spark) #SQL (Structured Query Language) #Python #Unit Testing #"ETL (Extract #Transform #Load)" #AWS Glue #Databases #Snowflake #Oracle #Deployment #PostgreSQL
Role description
Role: Data Engineer Lead Location: “New York, NY” [100% onsite]. Duration: Long Term PLEASE NOTE: IN-PERSON INTERVIEW IS MANDATORY. Required Qualifications • 8+ years’ experience with ETL/ELT process and frameworks is a must • 8+ years expertise in SQL and experience with relational databases like Oracle, MySql, PostgreSQL • 5+ years proficient in Python and Scala programming for data engineering tasks, automations • 8+ years strong in GIT repo and CI/CD deployment process • 5+ years’ experience with Big Data – Hadoop, Spark • Create integration and application technical design documentation. • Conduct peer-reviews of functional design documentation. • Complete development, configuration, test cases and unit testing • Perform code reviews and ensure standards are applied to each solution component. • Resolve complex defects during testing phases and identify root causes. • Drive performance testing. • Production Support: Assist in troubleshooting production environment and tuning environments. • Ensure best practices are followed from a technical perspective during all phases of the project. • Strong Application development experience in Python. • Experience in designing & developing a big data solution using Spark, AWS Glue, Lambda, SNS/SQS, Cloudwatch • Strong Database SQL experience, preferably Redshift. • Experience in Snowflake 5-8 Years’ Experience In The Following Domains • Asset Management • Financial Services • Investment Management • Hedge Funds