Java Programming, Python Programming, Cloud computing, Scala Programming, NoSQL, Elasticsearch, Apache Solr
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
Our teams of Data Engineers work directly with customers and each of us must be able to explain technical content to people who might be less familiar with the technology. You will participate in regular remote meetings, visit the clients on-site when needed, in order to discuss the specific solutions, you’re going to implement on the clients’ side. We discover the data-driven opportunities that impact clients’ business, validate opportunities with the stakeholders to mitigate business and technology risk. Our data-driven business is to build data platforms and intelligent applications that help clients’ leverage the full potential of data. With a team of Data Engineers, we implement a production-grade data platform based on IoT data lakes and machine learning-based analytics.
Responsibilities:
– Creating innovative new applications and building AI solutions for tasks previously thought too difficult for computers complex and distributes tasks;
– Building systems for ingestion, transformation and storage of vast amounts of data requires special expertise;
– Designing, architecting and implementing modern cloud-based pipelines for our customers;
– Making data accessible and usable for a new wave of data-powered apps and services.
What benefits do we offer?
Required Technical and Professional Expertise
– Professional programming experience and hands-on experience in building modern data platforms/pipelines;
– Understanding the architecture of Data Warehouses and Data Lake concept;
– Programming languages: e.g. Python, Scala, Java;
– Frameworks: Spark, Hadoop, Hive (Beam, Pig, Kafka, Storm would be considered as a plus);
– Experience with at least some tools: CI/CD, Apache Airflow, Oozie, orchestration tools;
– Search engines: Elasticsearch, Solar;
– Databases: NoSQL, Relational databases (columnar & row-oriented), Graph databases;
– Experience in designing data pipelines, ETL, ELT;
– Cloud platforms: AWS, Azure, GCP and their data services;
– Interest in or experience with machine learning and artificial intelligence is a plus;
– Tools: Jupyter Notebooks, Apache Zeppelin, BI Tools;
– Fluent English – written and verbal.
Preferred Technical and Professional Expertise
Cloud relevant certifications
Dell Technologies Inc. is an American multinational technology company headquartered in Round Rock, Texas. It was formed as a result of the September 2016 merger of Dell and EMC Corporation (which later became Dell EMC). Dell's products include personal computers, servers, smartphones, televisions, computer software, computer security and network security, as well as information security services. Dell ranked 35th on the 2018 Fortune 500 rankings
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