Senior Data Engineer (Banking)

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Title: Senior Data Engineer (Banking)
Location: New York City NY
Position type: W2 contract



Mandatory skills: Data engineer Snowflake Databricks Python Pyspark SQL Banking Key Responsibilities
  • Design and develop robust ETL/ELT pipelines using Snowflake Databricks Python PySpark and SQL.

  • Build and optimize data warehouses data marts and real-time data solutions for banking applications.

  • Collaborate with quantitative analysts data scientists and business stakeholders to deliver actionable data products.

  • Implement data governance quality checks and monitoring frameworks aligned with banking regulations (SOX GDPR CCAR).

  • Mentor junior engineers and contribute to architectural decisions and best practices.

  • 9 years of hands-on data engineering experience with 3 years in banking/financial services.

  • Expertise in Snowflake (SnowSQL performance tuning security) and Databricks (Delta Lake Spark optimization).

  • Proficiency in Python and PySpark for large-scale data processing.

  • Advanced SQL skills for complex data modeling and query optimization.

  • Experience with cloud platforms (AWS/Azure) and CI/CD tools (Jenkins Git).

  • Strong understanding of banking data domains: trading risk compliance customer transactions.

Certifications and additional skills:
  • SnowPro Databricks Certified AWS/Azure Cloud.

  • Knowledge of real-time streaming (Kafka Spark Streaming).

  • Experience with data orchestration tools (Airflow Dagster).

  • Familiarity with BI/visualization tools (Tableau Power BI)

Job Title: Senior Data Engineer (Banking) Location: New York City NY Position type: W2 contract Mandatory skills: Data engineer Snowflake Databricks Python Pyspark SQL Banking Key Responsibilities Design and develop robust ETL/ELT pipelines using Snowflake Databricks Python PySpark and ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala