O2 Technologies,Inc
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 8-10 years of experience in Banking/Financial Services, focusing on Elasticsearch, advanced SQL, Snowflake architecture, and scalable ETL/ELT pipelines. Proficiency in Python and exposure to AI/ML platforms is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Indexing #Automation #Data Modeling #AI (Artificial Intelligence) #Data Engineering #Cloud #Data Processing #Snowflake #Data Integration #Elasticsearch #SQL (Structured Query Language) #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Scala #Python #Scripting #Data Warehouse
Role description
• 8-10 years of hands-on Data Engineering experience in Banking/Financial Services domain.
• Strong expertise in Elasticsearch (Elastic DB) for indexing, search optimization, and analytics use cases.
• Advanced SQL skills with complex query tuning and performance optimization.
• Deep knowledge of Snowflake architecture, data modeling (Star/Snowflake schema), and performance tuning.
• Experience building scalable ETL/ELT pipelines, cloud data warehouses, and data integration frameworks.
• Proficient in Python/scripting for data processing, automation, and production support in regulated environments.
• Exposure to AI/ML platforms, real-time/streaming data processing, and enterprise analytics ecosystems.
#JoinOurTeam #NowHiring #ApplyToday
• 8-10 years of hands-on Data Engineering experience in Banking/Financial Services domain.
• Strong expertise in Elasticsearch (Elastic DB) for indexing, search optimization, and analytics use cases.
• Advanced SQL skills with complex query tuning and performance optimization.
• Deep knowledge of Snowflake architecture, data modeling (Star/Snowflake schema), and performance tuning.
• Experience building scalable ETL/ELT pipelines, cloud data warehouses, and data integration frameworks.
• Proficient in Python/scripting for data processing, automation, and production support in regulated environments.
• Exposure to AI/ML platforms, real-time/streaming data processing, and enterprise analytics ecosystems.
#JoinOurTeam #NowHiring #ApplyToday
