

Thinkbyte Consulting Inc. ( E-Verified )
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 8-10 years in Banking/Financial Services, requiring expertise in Elasticsearch, advanced SQL, Snowflake architecture, ETL/ELT pipelines, and Python. Contract length and pay rate are unspecified, with work location also not detailed.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#ML (Machine Learning) #Cloud #SQL (Structured Query Language) #Python #Data Warehouse #Indexing #Scripting #Automation #Snowflake #Data Engineering #"ETL (Extract #Transform #Load)" #Data Processing #Elasticsearch #AI (Artificial Intelligence) #Data Integration #Data Modeling #Scala
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






