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Business Unit Introduction
IBM Global Technology Services (GTS) helps clients plan, implement and manage an efficient, resilient, flexible IT infrastructure. IBM GTS is the partner of choice for infrastructure services – be it transformational outsourcing tied to business outcomes or integrated managed services or discrete services.
Who you are :
You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Candidate is an experienced data pipeline builder and data wrangler who enjoy optimizing data systems and building them from the ground up.
What you’ll do :
The Big Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
How we’ll help you grow:
You’ll have access to all the technical and management training courses you need to become the expert you want to be.
You’ll learn directly from expert developers in the field.
Work with a team of highly motivated architects and software developers to create hybrid cloud solutions.
Candidates will participate in developing complex ‘First of a Kind’ solutions using IBM and open-source tools and platforms.
Taking direction from IBM Distinguished Engineers and other key leaders, the developers act as subject matter experts to architect and develop the leading edge solutions for IBM’s clients
Required Technical and Professional Expertise
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
Preferred Tech and Prof Experience
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
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.