Lead Azure Data Engineer
Krakow, Poland
Hitachi Digital Services
Hitachi Digital Services helps enterprises digitally transform their business through the power of technology and innovation.We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.
Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.
The role
• Manage high-quality, secure, and maintainable code in an agile/waterfall environment, understanding business requirements and existing ecosystem.
• Analyze, understand, and model data being used in the process and (re)define process flows, reporting, and data visualization that improves efficiency in how we deliver outputs and insights to clients Datawarehouse as per requirements.
• Develop and sustain ETL process using SSIS/ADF/Databricks Design schema to manage Master data deliver the reports using Iterative, Agile, or Waterfall models, as necessary.
• Provide Daily / Weekly updates on the progress of work Identify areas of improvement and propose solutions, ensuring process compliance.
• Understanding of data modeling techniques, Master data management and Data Quality
• Experienced in extracting, cleaning, transforming, and integrating data across heterogeneous source systems.
• Experience in monitoring and troubleshooting Data pipelines
What you’ll bring
• Strong understanding of Data Warehousing and ETL concepts
• Experience with Azure cloud technologies, including Azure Data Factory, Azure Data Bricks, Azure Data Lake Storage, and Azure Synapse Analytics.
• Knowledge in managing structured and semi-unstructured datasets like Json, xml Strong query writing skills, ability to write complex SQL queries.
• Experience with programming languages such as Python, SQL Server / Oracle / MySQL
• Strong understanding of the Azure data platform
#LI-TR1
Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.
How we look after you
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
About us
We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Databricks Data management Data pipelines Data quality Data visualization Data Warehousing Engineering ETL JSON MySQL Oracle Pipelines Python SQL SSIS XML
Perks/benefits: Equity Flex hours Health care
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