Data Engineer
2 months ago
Key Responsibilities :
- Design and deliver scalable data solutions using Azure Data services.
- Develop and implement data ingestion and transformation pipelines for large-scale environments.
- Build data solutions using a wide range of tools and Azure services.
- Collaborate on proof-of-concept development and production implementation.
- Meet tight project deadlines while delivering high-quality solutions.
- Translate business requirements into technical solutions with a focus on data quality and performance.
Qualifications :
Essential :
4-8 years of hands-on experience designing and delivering data solutions using :
- Azure Data Factory
- Azure SQL Database
- Azure Synapse Analytics
- Azure Data Lake
- Expertise in writing and optimizing SQL, stored procedures, and views.
- Strong ability to analyze query performance, use partitioning, and apply clustering techniques.
- Hands-on experience with Power BI or other BI platforms such as Tableau or Qlik Sense.
- Proven experience building data solutions using ETL/ELT tools like:
- SQL Server Integration Services (SSIS)
- Oracle Data Integrator (ODI)
- Talend
- Direct experience in building data pipelines using Azure Data Factory.
- Strong knowledge of data management best practices, including data profiling, sourcing, and cleansing routines.
- Advanced experience with RDBMS, including complex stored procedures, functions, query optimization, and indexing strategies.
- Proven ability to coach and mentor novice developers.
- Excellent problem-solving and data analysis skills.
- Strong communication skills, both written and oral, to articulate complex concepts effectively.
- Full project lifecycle experience, from concept to deployment and support.
Desirable :
- Programming experience, particularly in Python.
- Experience working with offshore teams.
- Consultancy experience.
- Familiarity with Agile/Scrum methodologies
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