Role overview

Qualifications

Minimum 8 years of data engineering experience
Bachelor's degree preferred
Strong proficiency in Python and SQL
Hands-on experience with Databricks

Responsibilities

Establish database management systems, standards, and guidelines
Define and document conceptual and logical database designs
Plan capacity, external data interfaces, data loading, maintenance, and security
Translate business requirements into data models and specifications

Key facts

Remote from: Massachusetts (USA), Oregon (USA)
Full time
Expert & Leadership (>10 years)
Data Engineer
English

Hard skills

Python (Programming Language) SQL (Programming Language) Databricks Amazon Web Services Apache Airflow AWS Elastic MapReduce (EMR) AWS Lambda CI/CD DevOps Internal Documentation

Other skills

Communication
Collaboration
Detail Oriented
Time Management

About the company

MDA Edge

Business Consulting & Services

Our objective is to establish an exceptional ecosystem by connecting individuals, technology, and prospects through the application of human intelligence.MDA Edge is a process-oriented company and our expertise lies in providing comprehensive Workforce Solutions, specifically focusing on Contingent Staffing, Bulk/Project Staffing, RPO/KPO/BPO, and Direct Hire services. We cater to a wide range of industries, including Infrastructure Consulting, Engineering Consulting, IT Consulting, Healthcare, Life Sciences, Pharmaceutical Consulting, Consumer Goods, Education, Transportation & Logistics, Media & Entertainment, Telecom, BFSI, Manufacturing, Utilities & Energies, and Corporate Recruitment. Moreover, we have developed a dedicated focus on Government Consulting.Our company prides itself on a meticulous approach, ensuring that we meet your specific needs. We have established a robust network of highly skilled professionals who are readily available to fulfill your requirements. With a strong commitment to excellence, we consistently deliver exceptional results for clients in India, Denmark, France, Germany, Ireland, Japan, Spain, Thailand, the USA, Canada and Mexico, with ongoing expansion efforts to serve more new regions in the near future.We consistently uphold the highest standards of quality by providing resources, time, and materials to design, implement, and support efficient operations for organizations. Our track record of measurable accomplishments demonstrates our commitment to cultivating a balanced work and societal ecosystem.Our continuous growth, successful customer engagements, and strong customer retention exemplify our achievements. Furthermore, our passion lies in streamlining complex business processes through the application of suitable technology, which has been integral to our success.We extend an invitation to join our dynamic workplace, offering rapid growth opportunities, excellent employee benefits, and a positive work-life balance.

Company details

Company typeScaleup

IndustryBusiness Consulting & Services

Company size201 - 500

Links

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Job description

Location and Schedule:

On-site at headquarters from 8:00 a.m. to 5:00 p.m. preferred.
Hiring manager prefers 5 days on-site.
Remote may be considered for highly qualified candidates on PST hours.

Job Summary:

Establish database management systems, standards, and guidelines.
Define and document conceptual and logical database designs.
Plan capacity, external data interfaces, data loading, maintenance, and security.
Evaluate and install database management systems.
Code complex programs and design logical processes on target platforms.
Build windows, screens, and reports for business applications.
Assist with user interface and application prototypes.
Participate in quality assurance and develop test application code.
Define and defend database tables, fields, and data standards.
Translate business requirements into data models and specifications.
Define table relationships and field interactions for relational models.
Determine data suitability and optimal storage organization.
Work closely with a team of approximately 15 engineers.

Core Focus Areas:

Build reliable, scalable data pipelines.
Design and optimize data models.
Perform data analysis to support business needs.

Required Experience:

Minimum 8 years of data engineering experience.
Bachelor's degree preferred.
Alternatives may be accepted as follows.
- PhD or Law plus 6 years of experience.
- Master's degree plus 7 years of experience.
- Associate degree plus 9 years of experience.
- High school diploma plus 10 years of experience.

Technical Skills:

Strong proficiency in Python and SQL.
Hands-on experience with Databricks.
Experience with Apache Airflow for orchestration.
Strong knowledge of AWS services including EMR and SQL-based tooling.
Experience building production systems using AWS EC2, ECS, API Gateway, and Lambda.
Experience implementing CI/CD and DevOps for deployment and production support.

Soft Skills:

Strong documentation and communication skills.
Ability to work in a collaborative team environment.
Strong attention to detail and quality.
Ability to manage priorities and deliver on deadlines.

Interview Process:

Two coding rounds.
Each round is 1 hour.