Lead Data Engineer (Python, AWS, Salesforce experience preferred)

Role: Data Engineer /Lead Data Engineer (Python + AWS - ( exposure to Salesforce Good to have)

Location: Jersey City

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

Data Engineer

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 3+ years of applied experience
• Practical Experience in one or more programming language(s), such as Python, Java
• Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
• Hands-on practical experience delivering data pipelines
• Proficient in all aspects of the Software Development Life Cycle
• 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
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Working knowledge of bitbucket and JIRA

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.