Chief Data Integration Specialist
1 miesiąc temu
**About Sollers Consulting Sp. z.o.o.**
Sollers Consulting is a renowned consultancy and software integrator with over two decades of experience in transforming the financial and insurance industries.
We pride ourselves on our collaborative approach and the limitless potential of our people, which has been instrumental in our success. Our mission is 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, striving to create value for all stakeholders involved.
About Data Competency at Sollers:
Versatility is key to our work in IT, and Data Competency is one of our initiatives aimed at supporting digital transformation in the financial sector. Our goal is to empower our clients to become truly data-driven companies by ensuring they have the capabilities to address their data-related needs.
As a Chief Data Integration Specialist, you will be responsible for building and optimizing our clients' data pipelines and data flows. You will work on various data initiatives, ensuring optimal data delivery and identifying potential improvements and enhancements for current data processing solutions.
You will also advise on the utilization of appropriate tools and technologies, research new tools and solutions, and recommend potential enhancements to the existing data architecture.
About the role:
You will:
- Build scalable data processing pipelines using ETL/ELT processes and various data transformation and processing tools.
- Identify potential improvements and enhancements for current data processing solutions.
- Advise on the utilization of appropriate tools and technologies to ensure optimal data delivery.
- Research new tools and solutions and advise on their use.
- Recommend potential enhancements to the existing data architecture.
- Monitor performance and optimize data processing flows.
- Collaborate with Business Analysts, Subject Matter Experts, and Tech Leads to ensure thorough consideration of business requirements in both the design and subsequent development phases.
- Address crucial aspects such as data privacy, security, regulatory compliance, data integrity, and availability.
- Work directly with our clients as an active member of an agile project team.
About the skills and tools:
You will use:
- Our partners: Snowflake, Databricks
- Cloud providers: Azure, AWS
- ETL/ELT data pipelines using batch and stream processing
- DWH, data lakes, data lakehouses
- BI & predictive analytics; AI/ML
- RDBMS, CDC, APIs, data connectors, file systems (structured, semi-structured and unstructured)
- SQL, Python
- DataOps
- Data architecture, data modeling, design patterns
About the requirements:
You need:
- 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
About the salary: The estimated annual salary for this position is €60,000 - €90,000 depending on experience, plus benefits.
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