Data Architect

4 dni temu


Lublin, Lubelskie, Polska Sollers Consulting Pełny etat
About Sollers Consulting
Sollers Consulting is a leading consultancy and software integrator that transforms the financial & insurance industries by helping them adapt to new technologies. Our mission is to empower our customers to become truly data-driven companies.

We strive to be the best at what we do, both in the eyes of our team and our customers. We put people at the heart of every project.

As a company founded in 2000, we have been successful due to the power of collaboration and the limitless potential of Sollers people.

We are looking for a skilled Data Engineer to join our team. The ideal candidate will have experience in building and optimizing data pipelines and data flows. They will work on various data initiatives and ensure optimal data delivery. Experience in data warehousing and data wrangling is highly desirable.

The successful candidate will have the opportunity to build data systems from scratch and modify existing ones using a variety of tools and technologies including Snowflake, Databricks, Azure, AWS, ETL/ELT data pipelines, DWH, data lakes, data lakehouses, BI & predictive analytics; AI/ML, RDBMS, CDC, APIs, data connectors, file systems (structured, semi-structured and unstructured), SQL, Python and DataOps.

Key responsibilities include:
  • Building scalable data processing pipelines.
  • Identifying potential improvements and enhancements for current data processing solutions.
  • Advising on the utilization of appropriate tools and technologies.
  • Researching new tools and solutions and advising on their use.
  • Recommending potential enhancements to the existing data architecture.
  • Monitoring performance and optimizing data processing flows.


Requirements:
  • At least 3 years of experience in data engineering.
  • Experience with ETL/ELT processes and building data processing pipelines.
  • Experience working with various data sources (RDBMS, CDC, APIs, data connectors, structured, semi-structured and unstructured files).
  • Experience with various data transformation and processing tools (e.g. Apache Airflow, Apache Nifi, Kafka, Fivetran etc.).
  • Knowledge of data modelling concepts.
  • Proficiency in SQL and good knowledge of at least one programming language (Python, Java, Scala, R).
  • Good command of English language, at least B2/C1 level.
  • Effective communication skills and the ability to work well in a team.
  • Availability to work full time.
  • Ability to work in the European Union.


Nice to haves:
  • Previous working experience in Insurance industry.
  • Practical experience with Snowflake and Databricks.
  • Practical experience with DWH data modeling.
  • Familiarity with one or more Cloud data stacks (AWS, Azure, GCP).
  • Experience in pipeline orchestration tools (e.g. Airflow).
  • Familiarity with containerization, CI/CD, version control.
  • Fluency in French or German.


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