Lead the design and development of data integration solutions, including ETL/ELT processes and data pipelines

Collaborate with stakeholders to gather and analyze data integration requirements

Provide technical guidance and mentorship to junior team members

Ensure data quality and consistency across integrated systems

Optimize data integration workflows for performance and scalability

Troubleshoot and resolve complex data integration issues

Stay up-to-date with industry trends and emerging technologies in data integration

Bachelor's degree in Computer Science, Information Systems, or a related field

3+ years of relevant production experience in data integration

In-depth knowledge of ETL/ELT solutions and data integration best practices

Strong proficiency in Azure Data Lake Storage, Databricks, and Azure Data Factory

Extensive experience with MySQL, PostgreSQL, MS SQL.SQL, and Oracle

Expert-level skills in SQL and Python for data manipulation and transformation

Solid understanding of data modeling and database design principles

Proven track record of successfully delivering complex data integration projects

Strong problem-solving and analytical skills

Excellent communication and leadership abilities

B2+ English level

Experience with cloud-based data integration platforms such as AWS Glue or Google Cloud Dataflow

Familiarity with big data technologies like Hadoop and Spark

Knowledge of data warehousing concepts and tools

Understanding of data governance and data management practices

Ability to architect and implement real-time data integration solutions