Lead Data Engineer With Financial Domain (IN-PERSON INTERVIEW IS MANDATORY)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Python
PostgreSQL
Oracle
MySQL
Investment Management
Git
Financial Services
ELT
Amazon Redshift
Amazon SQS
Amazon Web Services
Apache Hadoop
Apache Spark
Application Development
Asset Management
Big Data
Continuous Integration
Data Engineering
Documentation
ROOT
Relational Databases
SQL
Scala

Job Details

Role: Lead Data Engineer

Location : New York, NY (Onsite)

NTT DATA / Global Atlantic Financial Company

Required Qualifications:
8+ years experience with ETL/ELT process and frameworks is a must
8+ years expertise in SQL and experience with relational databases like Oracle, MySql, PostgreSQL
5+ years proficient in Python and Scala programming for data engineering tasks, automations
8+ years strong in GIT repo and CI/CD deployment process
5+ years experience with Big Data Hadoop, Spark
Create integration and application technical design documentation.
Conduct peer-reviews of functional design documentation.
Complete development, configuration, test cases and unit testing
Perform code reviews and ensure standards are applied to each solution component.
Resolve complex defects during testing phases and identify root causes.
Drive performance testing.
Production Support: Assist in troubleshooting production environment and tuning environments.
Ensure best practices are followed from a technical perspective during all phases of the project.
Strong Application development experience in Python.
Experience in designing & developing a big data solution using Spark, AWS Glue, Lambda, SNS/SQS, Cloudwatch
Strong Database SQL experience, preferably Redshift.
Experience in Snowflake 5-8 years experience in the following domains:
Asset Management
Financial Services
Investment Management
Hedge Funds

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