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Data Engineer

IBMAbout the company

  • Wrocław
    Wrocław, Lower Silesia
  • offer expired 2 years ago
  • contract of employment
  • full-time
  • specialist (Mid / Regular)
  • home office work

Your responsibilities

  • Communicate with both technical developers and business managers;
  • Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools;
  • Coordinate the change management process, incident management, and problem management process;
  • Ensure traceability of requirements from Data through testing and scope changes, to training and transition;
  • Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase the speed of implementation and maximize value delivery;
  • Communicate with both technical developers and business managers;
  • Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools;
  • Coordinate the change management process, incident management, and problem management process;
  • Ensure traceability of requirements from Data through testing and scope changes, to training and transition;
  • Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase the speed of implementation and maximize value delivery;
  • Communicate with both technical developers and business managers;
  • Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools;
  • Coordinate the change management process, incident management, and problem management process;
  • Ensure traceability of requirements from Data through testing and scope changes, to training and transition;
  • Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase the speed of implementation and maximize value delivery;

Our requirements

  • 5+ years of professional experience in the IT industry;
  • Proven technology experience in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience/Knowledge in working with No SQL databases and can create E2E pipelines;
  • Experience in building and optimizing complex queries. Good with manipulating, processing, and extracting value from large, disconnected datasets;
  • Proven Experience in working at data engineering technologies and ADLS, ADF, Azure Databricks, Azure SQL, Synapse, SAP HANA;
  • An experience in handling big data sets and big data technologies - will be an asset;
  • Knowledge of any one of the scripting languages: Python, SQL, Spark-SQL/ PySpark;
  • Very Good understanding of Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments, and Data Strategy in support of the key business stakeholders;
  • Preferred Professional and Technical Expertise :
  • Previously created or enhanced CI/CD build and releases pipelines;
  • Experience in working with scripting languages such as YAML, PowerShell, Terraform, etc.;
  • Experience with big data tools: Kafka, Hadoop, Spark and similar technologies. Experience with stream-processing systems;
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, and more;
  • Core Python skills like: Numpy, Panda, Django;
  • Certification in Azure;

What we offer

  • Working for a top 5 company according to Forbes 2022 best employers ranking;
  • International and prestigious projects;
  • Highly skilled teams of experts;
  • Wide range of IBM trainings and certificates;
  • Unlimited access to Udemy, Harvard Business Review, Safari O'Reilly, getAbstract, IBM AI Skills Academy;
  • And what is more:
  • Contract of employment
  • Negotiable competitive compensation depending on candidate expertise
  • Private medical care and life insurance
  • Employee Assistance Program Sport, charity & other networking groups Summer / winter camps for children
  • Discounts with IBM employee badge
  • Referral Bonus Program
  • Home office option
  • No dress code

Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • fruits
  • corporate products and services at discounted prices
  • integration events
  • no dress code
  • coffee / tea
  • leisure zone
  • pre-paid cards
  • shopping coupons
  • employee referral program

IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

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Data Engineer, Wrocław