

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
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - 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
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






