Description : Data Engineer. Company : Alcon. Location : Warszawa, mazowieckie
About your future Team You will join the Data Strategy, Engineering and Innovation team based in Alcon Digital Hub with the main office in Warsaw, our newly launched powerhouse for designing and delivering innovative solutions across data & analytics, front-end engineering, and other technology areas. You will become a member of a highly successful Data Engineering team which is responsible for development and management of data pipelines across various domains including but not limited to manufacturing and technical operations, business finance and financial accounting, R&D, commercial, HR, internal audit & compliance. About your future Role As a Data Engineer, you’ll work in an interdisciplinary project team of Data Engineers, Data Scientists, BI Developers, Salesforce Developers and other data experts. Your future project is focused on delivering ML-powered recommendations to our sales representatives and key account managers in Vision Care and Surgical business units. This solution helps them identify customers with the best sales opportunities as well as, specific topics to discuss with them. You will be responsible for developing data pipelines enabling Data Scientists to create more data-rich models. It is a role with a very high visibility offering great growth opportunities. What you will do:
- Build highly scalable and resilient data pipelines using Python, PySpark, SparkSQL and/or Scala.
- Adopt AWS data lake and data related services to implement end-to-end solution.
- Understand business capability needs and processes as they relate to IT solutions through partnering with Product Owners and business stakeholders, and apply this knowledge to influence business goals.
- Participate in Backlog grooming, Sprint Planning and effort estimation
- Automate, optimize, migrate and enhance existing solutions.
- Contribute to the logical/physical design and development of new/existing data marts/models
- Perform data modeling, data analysis and providing insights using various tools.
- Follow and share data engineering best practices among data and analytics engineers.
- Guide adept Data Engineers in their data engineering journey.
- 2+ years of professional experience in data engineering with a proven track record of delivering complex data solutions in a production environment.
- Strong programming skills in Python and/or Scala.
- Extensive experience with Apache Spark including working in PySpark and Spark SQL.
- Good working knowledge of AWS Services like Glue, EMR, S3, SNS, SQS, Athena, Redshift, Lambda, and Step functions
- Experience with performing data modeling, data analysis and providing insights using various tools.
- Experience in working as part of agile teams and using agile and collaboration tools like Jira, Confluence.
- Ability to work with the business to capture, groom, prioritize, plan and demo User Stories
- Strong collaboration skills for effective communication across multiple teams and stakeholders, both internal and external
- Data savvy individual with hands on experience in preparing, analyzing and deriving insights from data.
- Very competitive salary level with flexible contract options.
- Market-leading performance based annual bonus.
- Attractive package of benefits.
- Opportunity to work in a high paced agile environment and the chance to work with people who are passionate of delivering outcomes and a culture of simplification and ownership.
- Flexible working hours and remote work possibilities.
