Data Integration Lead

4 weeks ago


Jersey City, United States E-Solutions INC Full time
Job DescriptionJob Description

Job Title: Data Integration Lead ( Python AWS Lead )

Location : Jersey City, NJ Local

Skill Combination: Java+AWS 70% & Python 30%

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Develops secure high-quality production code, and reviews and debugs code written by others

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Adds to team culture of diversity, equity, inclusion, and respect

Provides system administration support of Salesforce environment, especially related to customized applications, user permissions, security settings, custom objects and workflow

Required qualifications, capabilities, and skills

Formal training or certification on data engineering concepts and 8+ years of applied experience

Advanced in one or more programming language(s), such as Java, Python

Hands-on practical experience delivering data pipelines

Proficient in all aspects of the Software Development Life Cycle

Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security

Demonstrated proficiency and experience with cloud-native distributed systems

Ability to develop reports, dashboards, and processes to continuously monitor data quality and integrity

Working knowledge of bitbucket and JIRA

Preferred qualifications, capabilities, and skills

Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR

Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark

Strong hands-on experience building event driven architecture using Kafka

Experience writing Splunk or Cloudwatch queries, DataDog metrics.


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