Scalable Systems strives to provide great career opportunities worldwide for talented, ambitious and proactive people interested in careers in the Data Warehousing, Business Intelligence, Database Management, ERP and Application Development arenas. We believe that our company can be measured by the people who work here. Employment with Scalable Systems offers a challenging, fast-paced team environment and opportunities to employ leading-edge technologies and the latest development tools, providing exceptional opportunities for professional growth.
We take pride in what we do, which drives our pursuit of perfection. Every task at Scalable Systems represents an opportunity to demonstrate our attention to detail and our commitment to quality. This pride energizes our associates to innovate and multiply our value for customers.
Our value lies in our ability to link the best technology solutions to our clients' complex business challenges in the most cost-effective and innovative way.
The Data Scientist is responsible for the categorization and optimization technologies that are the foundational components of this company's data platform. As a member of the Data Services team, this role will focus on machine learning, enterprise search and data matching algorithms that enhance the performance of our systems and expose new data based capabilities to the organization. This role will work alongside research scientists, data architects and software engineers in the design and implementation of data-driven algorithms that enhance the performance of our systems.
Develop and support data matching, enterprise search, data mining and machine learning efforts as a member of the Data Services team.
Participate in the design and implementation of data-driven algorithms that enhance the performance of our system.
Responsible for building the long-term strategic architecture roadmap and related services, aligned to the company's enterprise architecture framework with a focus on data management and data integration.
Identify, evaluate, and recommend emerging technologies and technology service providers that will improve the business with a special focus dedicated to
Promote the use of a shared infrastructure and application/services roadmap to reduce costs and improve information flows.
Participate as a member of various design review boards as necessary to comply with enterprise architecture framework and data governance policies.
Provide subject matter expertise and hands on delivery of Big Data Modeling platforms
Works with the key business stakeholders to validate and flesh out use cases
Provide domain perspective on Big Data Analytics platforms
Experience standing up and using Big Data Hadoop platforms such as Cloudera / HortonWorks and using them to devise and execute analytics as a Data Scientist
Education: Masters or PhD in Computer Science, Statistics, Mathematics or Physics-or similar academic pedigree
4-7 years of relevant experience for Data Sc.
Big data/statistical technologies: Hadoop/MapReduce; Hive/Pig; R; SPSS; Matlab; etc.
Data mining/text mining/predictive analytics/AI: clustering; classification/regression; anomaly; detection; association rules; NLP; etc.
Data visualization/infographics: QlikView; JasperSoft; Tableau; D3; etc.
Experience with one or more programming languages: Java; Perl; Python; etc.
Scalable Systems is looking for a Data Architect who will design and build relational databases, develop strategies for data acquisitions, archive recovery, handle the implementation of databases and assist with the cleansing and maintenance of the databases. Must be able to design, develop and manipulate databases, data warehouses and multidimensional databases. Relies on experience and judgment to plan and accomplish goals. A wide degree of creativity and latitude is expected.
Develop and deliver long-term goals for data modeling and standards in conjunction with data users, department managers, clients, and other key stakeholders
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
Assess and determine governance, stewardship, and frameworks for managing data across the organization
Assist and promote data management methodologies and standards
Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
Collaborate with project managers and business unit leaders for all projects involving enterprise data
Identify and develop opportunities for data reuse, migration, or retirement
Bachelor's degree in Computer Science preferred, or equivalent work experience
Master's Degree in Technology or Business preferred
4-5 years of experience as a Data Architect in an enterprise-class setting.
Designed and built dimensional models to support BI reporting and OLAP.
Scalable Systems is looking for a Hadoop Developer who will be responsible for the design development and support of the various big-data applications and frameworks including the installation, configuration and management of file systems, distributed systems, job execution frameworks, NoSQL databases and HBase / Hadoop systems.
Should be able to interface with the client on a day-to-day basis.
Communication with users to gather requirements and analyze/address issues
Investigating and fixing bugs / Participating in test execution cycles
Work with IT support and other functions to resolve issues in releases
Interact with other technology groups as needed for troubleshooting any issue
Provide timely updates on tasks and meet internal and client deadlines with high quality deliverables.
Coordinate with users and developers located in different geographic regions
Bachelors or Masters in Computer Science or Equivalent
7+ years of software development and architecture experience using Java EE technologies
2+ years of design and developing in Hadoop technologies (MapReduce, Pig, Oozie, Flume, Sqoop)
2+ year SQL/No-SQL Hadoop technology (Hive, HBase)
3-4 years of hands on development experience on Hadoop platform with Java, & Big Data.
Demonstrated work experience with the Map Reduce programming model and Hadoop Distributed File Systems (HDFS).
Must have Hadoop development experience.
Commercial experience with Pig, Hive, Flume or other map reducing technologies required.
NoSQL platform experience required.
Should have a good understanding of Agile development practices.
Scalable Systems is looking for a Informatica Developer who will be responsible for Utilizing independent judgment and discretion, assists with the design, engineering and development of information technology solutions using the Informatica 9.X platform. Support the design, analysis, development and/or implementation phase of engineering infrastructure solutions for projects. Assists in troubleshooting and resolving infrastructure compatibility issues based on system architecture, project requirement.
Strong organizational skills; experience managing projects and balancing responsibilities of multiple projects
Strong understanding of ETL, data structures, data flow, data patterns, and data governance in depth knowledge of Informatica 8.x/9.x Power Center and Power Exchange architecture as a developer and preferably with administration
Should have good experience on Oracle PL/SQL
Has experience in ETL Architecture and designing
Strong understanding of RDBMS and Mainframe based data sources and targets
Bachelor's degree in Engineering or Science graduates
Resource with 7 to 8 yrs of informatica experience.
Strong hands on Informatica
Should have worked on Data warehouse development
Should have performed Infromatica lead role in terms of leading on Design and development of Data Warehouse using Informatica as ETL tool
Should be able to communicate with various teams at the Customer site ( IT and Business)
Should have good hands on knowledge on Oracle Data base.