IBM Global Business Services (GBS) is a team of business, strategy and technology consultants enabling enterprises to make smarter decisions and providing unparalleled client and consumer experiences in cognitive, data analytics, cloud technology and mobile app development. With global reach, outcome-focused methodologies and deep industry expertise, IBM GBS empowers clients to digitally reinvent their business and get the competitive edge in the cognitive era in over 170 countries.
Bottom line? We outthink ordinary. Discover what you can do at IBM.
As a Big Data Engineer, you will work with various technology assets and frameworks built on open source and enterprise Big Data technologies by IBM Global Business Services (GBS) and apply them to projects that create high business impact. You will gain valuable knowledge and insights from thought leaders on cognitive technologies.
The role focuses on the elements required to manage data and information (both structured and unstructured) from business requirements to logical and physical design. You will be delivering solutions in the Big Data, Analytics, Business Intelligence and/or Data Warehousing domain at our clients. The Data Engineer defines data integration best practices in the critical evaluation and selection and/or development of the software components of the solution. Data Engineers are also responsible for the distribution of data and designing centralized and/or distributed systems that both address the business requirements and perform efficiently and effectively.
Responsibilities will likely include:
Assembling large, complex data sets that meet business requirements
Identifying, designing, and implementing internal process improvements: including process automation, optimizing data delivery, etc.
Designing optimal ETL infrastructures from variety of data sources
Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Working with executive, LOB, design and IT stakeholders on data-related technical issues and infrastructure needs
Experience from system integration projects based on the leading software products in the big data, business intelligence and analytics area is needed e.g.:
Big Data, including the Hadoop Ecosystem, NoSQL approaches and Cloud Data Management.
Data warehousing and BI (incl. SQL / Data Modelling, Data Integration, Data Governance)
Thorough understanding of the capabilities of commercial Apache Hadoop distributions such as e.g. Hortonworks, Cloudera, or MapR
Experience in estimating, planning and managing data integration aspects of implementation projects.
Experience with technologies such as: Spark, Sqoop, Pig, Hive, Kafka, Hibench, YCSB, Informatica, Ab Inititio, Talend, etc
IBM is market leader in the data & analytics space. We offer a dynamic, innovative and international environment which is fueled by projects with leading clients, unique capabilities such as IBM Research & Development and IBM Watson, and a growing ecosystem of partnerships such as those with Apple and Twitter. If you think you have the skill and the attitude to change the way that business is conducted – IBM is the place for you and will offer you numerous opportunities for growth across the company.
Successful candidates for these positions will work onsite at the IBM Client Innovation Center in Baton Rouge. The IBM Client Innovation Center is an in-bound delivery model where we support our clients from our Baton Rouge center. However, some travel is expected and all candidates must be willing and able to travel to meet our client needs across the US. Travel is typically related to knowledge transfer and training at the client site (Monday thru Friday). You are expected to travel up to 50% of the time. This is a traditional office position. You must live in, or be willing to relocate to, Louisiana. The work location is 100 North Street Baton Rouge, LA 70802. This is not a work from home position.
Health Insurance. Paid time off. Corporate Holidays. Sick leave. Family planning. Financial Guidance. Competitive 401K. Training and Learning. We continue to expand our benefits and programs, offering some of the best support, guidance and coverage for a diverse employee population.
Our goal is to be essential to the world, which starts with our people. Company wide we kicked off an internal talent strategy program called Go Organic. At our core, we are committed to believing and investing in our workforce through:
Skill development: helping our employees grow their foundational skills
Finding the dream job at IBM: navigating our company with the potential for many careers by channeling an employee’s strengths and career aspirations
Diversity of people: Diversity of thought driving collective innovation
In 2015, Go Organic filled approximately 50% of our open positions with internal talent that were promoted into the role.
With an employee population of 375,000 in over 170 countries, amazingly we connect, collaborate, and care. IBMers drive a corporate culture of shared responsibility. We love grand challenges and everyday improvements for our company and for the world. We care about each other, our clients, and the communities we live, work, and play in!
Required Technical and Professional Expertise
At Least 9 years of overall IT experience
5 years of experience with database technologies and/or data source manipulation (i.e. databases data warehouses, ETL, SQL, etc)
Experience with Big Data projects (using Hadoop, Hive, MapReduce, NoSql, ETL, or similar technologies
Experience with custom application development/enhancements using relevant technologies (i.e. Python, JSON, SQL, scripting, Hadoop, HortonWorks, Cloudera, etc)
Experience with Integration of Big Data to a traditional data architecture
Preferred Tech and Prof Experience
Experience with Watson Discovery/Conversation/Knowledge Studio
Custom application development
Data architecture experience of designing and developing data models
API experience, multithreading is a plus
May be involved in conceptual technology phase
Big Data Testing
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.