Cloud Data Engineer Consultant

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities
Data Engineer Consultant will be responsible for interacting with clients and help deliver components of client engagements that identify, design, and implement Data Platform solutions on Hybrid Cloud. Has deep experience in Data Architecture, Data Modelling, DataOps, and DevSecOps, Data Governance. Key responsibilities will include:

• Design, Develop, maintain and enhance data engineering solutions on Cloud Platforms
• Migrating mission-critical database applications from on-premise to cloud or running a hybrid cloud environment for large enterprises.
• Design highly scalable data engineering solutions on any of the cloud platforms – Amazon Web Services, Azure and Google Cloud Platform
• Leverage data engineering expertise to develop the strategic and tactical foundation for data-driven client challenges.
• Work to achieve client goals at the intersection of marketing/customer experience and data/analytics/automation/AI.
• Perform business/data analysis to investigate into various business problems and propose the solution working closely with clients and team
• Get involved in business development activities like creating proof of concepts (POCs), point of views

Day-to-day, your role includes:

• Being on a team responsible for executing end-to-end tech solutions that solve clients ' most challenging problems
• Interfacing with client's technical and business teams to gather business requirements to define technical requirements for customer experience and marketing data solutions
• Design and build data, AI, and analytics solutions using industry standard technologies
• Collaborate with teammates, including data architects and data scientists to develop optimized solutions
• Leading the best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting and incident response
• Working cross-functionally with other teams to solve deep

Required Technical and Professional Expertise

• A four-year college degree in Computer Science, Engineering, or Technical Science or equivalent
• 4+ years of IT development experience
• Certified in any of the cloud platforms i.e., AWS, Google, IBM, Azure
• Experience of Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python).
• Experience building and coding applications using Spark, Kafka, Storm, HDFS, Hbase, Hive, Sqoop etc.
• 3+ years of experience in cloud architecture building real-time data pipelines and scaling data transformations
• Experience of Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python).
• Experience building and coding applications using Spark, Kafka, Storm, HDFS, Hbase, Hive, Sqoop etc.
• 3+ years of experience in working in CICD/DevOps methodology
• 5-7 years of experience with data processing (ETL) tools and methodologies (Informatica, Talend, Spark, Pentaho, SSIS, Unifi, Snaplogic)
• Knowledge of Data Architecture, Data Modelling and adopting best practices and policies in the Data Management space
• Experience in databases, data warehousing and high-performance computing environments.
• Experience with scripting, automation and SQL/PL-SQL and high-level languages such as Python and Java.
• Ability to interface with nontechnical end users and translate business requests into technical requests, comfortable communicating with stakeholders to define requirements
• Experience with business requirements definition and management, structured analysis, process design, use case documentation
• Experience prepping data/data modeling for use in viz tools like Tableau, Power BI, Qlik
• Strong collaboration skills
• The ability to excel in a fast-paced environment
• Expertise across one or more capabilities: Data visualization, reporting, and dashboarding experience is a plus

Preferred Technical and Professional Expertise

• Masters degree in Data Sciences is preferred
• 2-3 years of experience with cloud platforms such as Azure, AWS, GCP preferred
• Machine learning experience is a plus
• 5+ years of experience with data quality analysis, statistical analysis and/or modeling, etc. preferred
• 2 years of experience mining and analyzing transactional electronic data with competencies in one of more of the following: SAS, SQL, SPSS, R, Python, ACP, IDEA Tableau, MATLAB, Visual Basic, BI, Hadoop, or Alteryz preferred

About Business UnitIBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.

Your Life @ IBMAre you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

About IBMIBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementIBM offers a wide range of resources for eligible IBMers to thrive both inside and outside of work. In addition to a competitive benefits program consisting of medical and life insurance, retirement plans, and time off, eligible employees may also have access to:

• 12 weeks of paid parental bonding leave. Family care options are also available to support eligible employees during COVID-19.
• World-class training and educational resources on our personalized, AI-driven learning platform. IBM's learning culture supports your restless attitude to grow your skills and build the depth and scale of knowledge needed to achieve your career goals.
• Well-being programs to support mental and physical health.
• Financial programs that empower you to plan, save, and manage your money (including expert financial counseling, 401(k), IBM stock discount, etc.).
• Select educational reimbursement opportunities.
• Diverse and inclusive employee resource groups where you can network and connect with IBMers across the globe.
• Giving and volunteer programs to benefit charitable organizations and local communities.
• Discounts on retail products, services, and experiences.

We consider qualified applicants with criminal histories, consistent with applicable law.

Being You @ IBMIBM 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, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.