- About 1 year of experience as a Team Leader/Coordinator/Manager or similar role
- At least 2 years of experience in Data Platform/Data Warehouse projects
- Experience related to:
- Database administration (SQL Server or Azure SQL) optimization, taking care of performance, problem solving, knowledge of security
- Database development (preferably SQL and Azure SQL) – building and designing database solutions (queries, stored procedures)
- Data platforms development (SQL Server, Azure Data Lake, Databricks or Snowflake) including medallion architecture based on lakehouse concept
- ETL development using ADF, Databricks, SSIS or similar technologies
- Fluent English
Nice to have:
- Databricks and/or Snowflake and/or Python
- Data Modelling skills
Elitmind provides world-class Data Platforms, Data Reporting, Analytics, Machine Learning, AI consulting services , and Managed Services focused on Microsoft cloud technology – Azure Data & AI and Power Platform. To fully enable the Customers to embrace the power of analytics tools and solutions company also provides corporate learning programs via its educational platform Elitmind Academy .
Elitmind has successfully transformed dozens of organizations in the following industries: Retail, Energy, Banking, Telco, Logistics, and Government Sector , delivering over 300 Data & AI solutions .
We are seeking an exceptional candidate who possesses a minimum of 2 years’ experience in the realm of Data Platforms/Data Warehouses and about 1 year of Team Leader/Manager or similar role . The ideal candidate should demonstrate strong analytical and problem-solving skills, with a theoretical knowledge or experience in at least one of database systems, including SQL Server, Azure SQL, Azure Synapse, Databricks, or Snowflake . Also, the ideal candidate should have experience with Team Management (3-8 people) and demonstrate soft skills like communication or leading team meetings or 1 on 1 with Team Members. A comprehensive understanding of Data Warehousing concepts is essential, while staying abreast of emerging trends such as Data Lakehouse is considered a distinct advantage.
Sounds exciting? Do not hesitate to apply! 🙂
,[Delivering modern and innovative projects using latest Data & AI Cloud solutions based mostly on Microsoft Azure stack., Designing and developing SQL data solutions using SQL Server, Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics., Building ETL processes using metadata driven frameworks based on SSIS/ADF/Databricks., Optimizing existing solutions, infrastructure, and customer data architecture in the field of data., Taking part in translating business requirements into technological solutions., Developing your technological knowledge, but also in the field of soft skills., Managing a team (3-8 people) based on current employees and new hires depending on requirements., Taking care of team members’ development., Planning and managing team allocations (including participation in recruitment and negotiations with the client).] Requirements: SQL Server, SSIS, ETL, Data warehouse, Team management, SQL, Python, Snowflake, Databricks, Azure Tools: Jira, Confluence, SharePoint, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Microsoft Certification, Free coffee, Free parking, In-house trainings, Modern office, Startup atmosphere, No dress code, Integration events.
databricks Azure Data Factory Consulting Azure SQL Database Agile Microsoft SharePoint Python data-warehouse Databases azure-synapse azure-data-lake Confluence Microsoft SQL Server snowflake-cloud-data-platform SQL Server Integration Services (SSIS) Jira ETL Scrum Data Platforms Team management Team Leader