Senior Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 9, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Iselin, NJ
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🧠 - Skills detailed
#SQL (Structured Query Language) #Spark SQL #Hadoop #Azure #NoSQL #AWS (Amazon Web Services) #Spark (Apache Spark) #Kafka (Apache Kafka) #Scala #Python #Big Data #Databases #Compliance #Data Governance #Databricks #GCP (Google Cloud Platform) #Cloud #Data Quality #Data Pipeline #Distributed Computing #"ETL (Extract #Transform #Load)" #PySpark #Monitoring #Security #Data Engineering #MongoDB
Role description
Job Title: Sr. Python Developer (Databricks, Kafka, Banking Domain) Location: Iselin, NJ (Hybrid – 3 Days Onsite) Domain: Banking Visa: Only Green Card / US Citizen Employment Type: W2 Only Interview Process: Video + In-Person with Client Note: No C2C About the Role: We are looking for a highly skilled Sr. Python Developer with strong expertise in Databricks and Kafka to join our Banking Technology Team. In this role, you will design, develop, and optimize large-scale data pipelines and real-time streaming solutions to support trading, risk, and compliance functions. Key Responsibilities: β€’ Develop and maintain scalable ETL/ELT pipelines using Python, PySpark, and Databricks. β€’ Build and manage real-time data streaming solutions with Kafka. β€’ Collaborate with traders, risk managers, and data teams to deliver data-driven solutions. β€’ Optimize workflows for performance, reliability, and efficiency. β€’ Implement data quality checks and monitoring. β€’ Ensure compliance with financial data governance and security standards. Required Skills & Qualifications: β€’ 10+ years of Python development experience. β€’ Strong hands-on experience with Databricks (cloud-based data engineering). β€’ Proven expertise in Kafka for real-time streaming. β€’ Banking/Financial Services domain experience (trading, risk, compliance). β€’ Knowledge of SQL/NoSQL databases (SQL, Cassandra, MongoDB). β€’ Strong grasp of distributed computing & big data ecosystem. Preferred: β€’ Experience with Hadoop, Spark SQL, or Flink. β€’ Cloud certifications (AWS, Azure, GCP). β€’ Knowledge of financial data regulations.