Lead Databricks Engineer

New York, NY, US • Posted 2 days ago • Updated 10 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Collaboration
  • Data Processing
  • Scalability
  • Big Data
  • Data Analysis
  • Writing
  • SQL
  • Stored Procedures
  • Reverse Engineering
  • Finance
  • Banking
  • Capital Market
  • Investment Banking
  • Data Management
  • Microsoft SQL Server
  • Data Warehouse Architecture
  • Databricks
  • PySpark
  • Microsoft Azure
  • Amazon Redshift
  • Python
  • NumPy
  • Pandas
  • Snow Flake Schema
  • Data Warehouse
  • OLTP
  • OLAP
  • Dimensional Modeling
  • Data Modeling
  • Migration
  • Design Skills
  • Messaging
  • Analytics
  • Communication
  • Cloud Computing
  • Regulatory Reporting

Summary

Major Responsibilities:

Work on Finance data related to Collaterals, ETD, OTD, Settlement market, Cash product, Repo, Duos repo

Design, develop, and deploy Databricks jobs to process and analyze large volumes of data.

Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines.

Optimize Databricks jobs for performance and scalability to handle big data workloads.

Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.

Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.

Demonstrated proficiency with Data Analytics, Data Insights

Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process

Azure Synapse/Bigquery/Redshift is good to have.

Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

5+ years' - Strong experience in Finance / Banking industry - Capital markets, investment banking - Collaterals, ETD, OTD, Settlement market, Cash product, Repo, Duos repo

10+ years - Enterprise Data Management

10+ years - SQL Server based development of large datasets

5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding.

Azure Synapse/Bigquery/Redshift experience is good to have

3+ years Python(numpy, pandas) coding experience

Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have

Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.

Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills

Capable of discussing enterprise level services independent of technology stack

Experience with Cloud based data architectures, messaging, and analytics

Superior communication skills

Cloud certification(s)

Any experience with Regulatory Reporting is a Plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183517
  • Position Id: 46d785acb4e76a53d25cf1e72a61811f
  • Posted 2 days ago
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