Data Engineer

Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!

We are looking for Data Engineer to join our growing team in United States.

This is a remote position in the US.

Must Haves:

1) At least five years’ experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks;

2) At least three years’ experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative;

3) Expert in SQL, PL/SQL, SSIS and SSAS;

Nice to Have/Additional Comments:

Knowledge and/or certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra, and others for non-relational databases;

Job Description:

The Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection.

The Data Engineer is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up.

This individual will support our software developers, architects, and data owners across various data initiatives and ensures an optimal and consistent data delivery architecture.

They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. I

In this capacity, the Data Engineer will:Design, construct, test and maintain data architectures and data pipelines;

Ensure our data architecture supports the requirements of the business;

Develop custom data models and algorithms to apply to data sets;

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Discover opportunities for data acquisition;Develop data set processes for data modeling, mining and production;

Employ a variety of languages and tools to marry systems together;

Recommend ways to improve data reliability, efficiency and quality;

Leverage large volumes of data from internal and external sources to answer business demands;

Introduce automation through effective metadata management and using innovative and modern tools and techniques.

Partially or completely automate the most common and repeatable data preparation and integration tasks;

Propose appropriate data ingestion, preparation, integration and operationalization techniques in addressing data requirements;

Lead the development of data governance policies and best practices for consumers and users of data we provision;

Coordinate with different functional teams to implement models and monitor outcomes; and Develop processes and tools to monitor and analyze model performance and data accuracy.

Proficiencies:

Demonstrates knowledge of the following processes, tools or applications;

Experienced in designing, building and managing data pipelines for data structures;

Expertise with advanced analytics tools for Object-oriented/object function scripting. Includes languages such as C#, Python and othersExpert in SQL, PL/SQL, SSIS and SSAS;

Knowledge and/or certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra, and others for non-relational databases;

Experienced working with large, heterogeneous data sets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies;

Experienced working with popular data discovery, analytics and BI software tools such as Tableau, Power BI and others;

Experienced working with data governance/data quality and data security teams;

Experienced employing Microsoft MDM (Master Data Management) and MDS;Ability to troubleshoot complicated issues across multiple systems and driving solutions;

Effectively convey technical concepts to non-technical individuals;

Demonstrate a high level of Data Security Awareness; and

Experience with financial and legal industry data is a plus.

Qualifications:

A Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience;

At least five years’ experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks;

At least three years’ experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative;

Excellent communication and collaboration skills;Excellent problem solving and analytical skills;

Must be highly effective within a collaborative environment; and

Must be able to independently resolve issues and efficiently self-direct work activities based on the ability to capture, organize, and analyze information.

Why QualiTest?

• Be a part of a company who strives to support for diversity and inclusion in the workplace – we are one, we are many at Qualitest. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.
• Local and global opportunities – we offer you internal rotation and international mobility opportunities to grow your career.
• Clear view of your career and progression with the company – Qualitest is growing massively (since 2021 – tripled our employees base – we now have more than 8,000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.Save your earnings and prepare for your future by enrolling in our 401k plan where Qualitest will match your contributions accelerating your savings plan.
• Take care of health with enrollment into one of our competitive healthcare benefits. Qualitest will match towards your HSA if you choose to participate.
• Never stop experimenting and learning with QCraft – our Learning & Development platform: 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications, and much more.
• Stay active and get rewarded with our Corporate Wellness Program. We pay your Gym membership and giving you opportunities to Earn additional vacation times for attendance the gym!
• Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn – tap your network for net-worth.

• We recognize our employees work via our Qudos platform - You can earn bonuses and spot awards by celebrating your and your peers’ achievements.

• Planning a vacation? Looking for car insurance? Get access to Qualitest Employee Perks for discounts on anything from travel to electronics. With so many offerings the savings are endless!
• A Competitive pay, the salary range for the role is 90,000 - $100,000.

Intrigued to find more about us?

• Visit our website atwww.qualitestgroup.com

If you like what you have read, send us your resume and let’s start talking!