Careers at Equinox IT Solutions

The Software Engineer position expertise in large-scale systems and advanced database architecture. You will leverage the Hadoop ecosystem to create the next generation of our analytics product. Qualified individuals will have a solid background in the fundamentals of computer science, distributed computing and large-scale data processing.

Responsibilities
Build BigData systems – work on improving and adding new functionality to Data Systems backbone.
Design and implement features evolving our online advertising and data management product offerings.
Design, implement our proprietary cutting edge Hadoop/Spark based systems
Scale up and tune our ad serving pipeline. Challenges come in the form of concurrency, data scale, and computational efficiency
Large-scale data ingestion and integration – design, implement scalable ETL processes to collect and store large amount of data from multiple data centers and diverse external partners
Predictive analytics – design, implement our analytics platform for our customers to discover potential new consumers
Real-time query engine – design, implement our state-of-the-art in-memory query engine to bring quick insights to customers
Collaboration on requirements – Work with the Engineering, Product Management and Sales teams to come up with features that would help us and our clients be more productive and improve the bottom line
Keep it running – Help troubleshoot application operational issues
Required Qualifications:
A degree in Computer Science is preferred
Must be hard working, team oriented, bright, creative, cooperative, and an exceptional problem solver
Experience with Java or Scala preferred experience with C++ or C# is acceptable
Experience with Hadoop (MapReduce, Spark), or similar, large-scale data processing systems is preferred
Proficiency in relational and NoSQL databases is preferred
Some experience with distributed systems, advanced applications building, large-scale data processing or application partitioning
Experience with AWS and working knowledge of AWS data management, DevOps processes and technologies (Jenkins/Travis, Docker, Kubernetes, monitoring systems, etc) is a plus
0-3+ years of relevant experience (appropriate PhD program project work acceptable)
Good understanding of Object Oriented programming and design
Strong knowledge of common algorithms and data structures
Solid understanding and working knowledge of modern operating systems and/or application scalability techniques is a plus
Experience with Linux based operating systems is a plus

Job Description:
The Big Data Engineer is responsible for engaging in the design, development and maintenance of the big data platform and solutions at Quicken Loans. This includes the platform host data sets that support various business operations and enable data-driven decisions as well as the analytical solutions that provide visibility and decision support using big data technologies. The Big Data Engineer is responsible for administering a Hadoop cluster, developing data integration solutions, resolving technical issues, and working with Data Scientists, Business Analysts, System Administrators and Data Architects to ensure the platform meets business demands. This team member also ensures that solutions are scalable, include necessary monitoring, and adhere to best practices and guidelines. The Big Data Engineer helps mentor new team members and continues to grow their knowledge of new technologies.

Responsibilities
Develop ELT processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiency
Develop data processing scripts using Spark
Develop relational and NoSQL data models to help conform data to meet users needs using Hive and HBase
Integrate platform into the existing enterprise data warehouse and various operational systems
Develop administration processes to monitor cluster performance, resource usage, backup and mirroring to ensure a highly available platform
Address performance and scalability issues in a large-scale data lake environment
Provide big data platform support and issue resolutions to Data Scientists and fellow engineers
Requirements
Master's degree in computer science, software engineering or a closely related field
2 years of experience with Hadoop distribution and ecosystem tools such as Hive, Spark, NiFi and Oozie
2 years of experience developing batch and streaming ETL processes
2 years of experience with relational and NoSQL databases, including modeling and writing complex queries
Proficiency in at least one programming language, such as Python or Java
Experience with Linux system administration, scripting and basic network skills
Excellent communication, analytical and problem-solving skills

Job Summary:
The Data Engineer will work with product owners and data stewards to deliver high quality technical solutions in response to business requirements. You will be counted on to provide your peers with technical expertise that will offer solutions for difficult programming problems.

Duties and Responsibilities:
SQL Server Integration Services (SSIS) including UI and custom code features.
Write or create stored procedures, SQL scripts, SSIS packages that can be used to:
Move data from source databases to target databases
Clean / Condition data
Convert or transform data
Reconcile and confirm converted data
Find data errors
Validate data to business rules
Ability to examine existing ETL scripts and track data back to source
SQL Server administration, tuning, and workbench.
Work with business experts to understand data and complete data mappings.
Focus on the development of extract, transform, and load (ETL) jobs currently using Microsoft SQL, Server, and SSIS.
The environment currently supports hundreds of related ETL jobs that move data between 30 different source systems and between multiple classifications.
Part of the challenge as a data engineer will be to find scalable and efficient coding solutions that plug into this extensible system in order to add more data to the Enterprise data store.
Other duties as assigned

Minimum Qualifications: (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.)
Bachelor’s Degree in Statistics, Mathematics, Computer Science or another quantitative field
Equivalent years of experience in lieu of degree
4 years of relevant experience with the following software / tools:
Experience with Microsoft SQL
Prior experience supporting IC/DoD
The existing data warehouse is built on Microsoft SQL hosted on Amazon Web Services (AWS), so experience developing solutions that scale well in these environments is a plus.
Active Top-Secret Clearance with ability to obtain SCI

Knowledge, Skills and Abilities:
Ability to work independently and yet be effective within a team setting
Must be capable of managing multiple efforts with time related constraints in a fast-paced contracting environment
Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
Excellent skills in Microsoft Word, Excel, and other Office applications
Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues.
Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, previous customer service experience strongly desired.

Job Description:
we are seeking a Big Data/Python Developer with experience in platform administration preferred. The position will primarily be responsible interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, HLD & LLD definition and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:
Candidate must be located within commuting distance of Charlotte, NC or be willing to relocate to the area. This position may require travel in the US and Canada.
Bachelor’s Degree or foreign equivalent, will consider work experience in lieu of a degree
At least 4 years of experience with Information Technology
3+ years of experience in Hadoop ecosystem, i.e. Hadoop, HBase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python
3+ years of experience in Python programming - strong understanding and hands-on programming/scripting experience skills – Python, UNIX shell, Perl, and JavaScript.
Strong knowledge in object oriented concepts, data structures and algorithms
Good experience in end-to-end implementation of DW BI projects, especially in data warehouse and mart developments
Knowledge and experience with full SDLC lifecycle
Experience with Lean / Agile development methodologies
U.S. Citizenship or Permanent Residency required, we are not able to sponsor at this time

Preferred Qualifications:
At least 3 years of experience in software development life cycle
At least 3 years of experience in Project life cycle activities on development and maintenance projects
3+ years of experience in Hadoop ecosystem, i.e. Hadoop, HBase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python
Experience in developing data science/analytics pipeline, i.e. starting from installation of various packages, data engineering, data analytics is preferred.
Working experience with Machine learning libraries, H2O, NLP is preferred
At least 1 year of experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
Good experience in end-to-end implementation of DW BI projects, especially in data warehouse and mart developments
Good understanding of Data integration, Data Quality and data architecture
Experience to Big data technologies is preferred.
Good expertise in impact analysis due to changes or issues
Experience in preparing test scripts and test cases to validate data and maintaining data quality
Strong understanding and hands-on programming/scripting experience skills – UNIX shell, Perl, and JavaScript
Experience with design and implementation of ETL/ELT framework for complex warehouses/marts. Knowledge of large data sets and experience with performance tuning and troubleshooting
Hands-on development, with a willingness to troubleshoot and solve complex problems
CI / CD exposure
Strong written and oral communication skills
Ability to work in team in diverse/ multiple stakeholder environment
Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams
Experience managing team size of 2-3 would be a plus
Excellent verbal and written communication skills
Experience and desire to work in a Global delivery environment

Job Description:
An exciting position is currently available to lead the Estimating Department. We are looking for a candidate with proven experience leading and managing a team of estimators to solve complex engineering focused problems in an entrepreneurial manufacturing environment. This position is primarily responsible for providing leadership to a cross functional team who develops and estimates solutions for varied manufacturing customers.

Responsibilities*
• Lead a team to develop solutions, provide concepts, sub deliverables (WBS), cost data and analysis for estimate review and presentations
• Lead a team to develop, track and improve estimating and procurement strategies to optimize efficiency and accuracy
• Review and evaluate requests for manufacturing estimates
• Lead a team to identify and account for risk elements
• Lead a team to develop comprehensive cost estimates
• Review estimates and revisions for completeness and accuracy
• Drive internal and external lines of communication
• Validate estimate details and analyze margins
• Manage workload and estimate quality of departmental estimators
• Coordinate and participate in job site visits as an estimator, less than ten percent travel
• Maintain cost estimating tools to categorize analyze information on past performance and industry standards

Qualifications*
• B.S Engineering, or related fields, MBA preferred or equivalent manufacturing estimator work experience
• Minimum 5 years estimator experience in manufacturing capital equipment design/build
• Estimator work experience in equipment manufacturing, estimating, rapid product development, R&D
• Proven Leadership experience in a fast-paced data driven manufacturing estimator environment
• Flexibility to effectively deal with changing priorities and timelines through analytical problem-solving
• Able to work independently and in a collaborative team-oriented environment
• Displays superior written and oral communication skills
• Works well within tight time constraints
• Ability to balance competing requirements
• Possess an effective combination of process and business mindsets
• Ability to work at detail level