Senior Data Engineer

Responsibilities

Must have:

• Proven hands-on experience designing, building, and maintaining data solutions using Databricks and Azure Data Factory.
• Experience in gathering and translating business requirements into effective technical solutions.
• Strong background in building and optimizing ETL (Extraction, Transformation, Loading) processes using Azure Databricks and SQL technologies
• Experience in designing and maintaining data architectures and data models that support business intelligence and analytics
• Ability to implement processes and systems to monitor and ensure data quality, accuracy, and availability
• Demonstrated ability to work with analytics, business, product, and executive teams to improve data models and resolve technical issues.
• Experience delivering and operating data platforms throughout their lifecycle (Development + Operations)
• Capable of providing technical leadership regarding implementation (“How”) and supporting shared product delivery responsibility
• Excellent verbal and written communication skills for cross-functional collaboration

Good to have:

• Experience designing and evaluating tools for data lineage, metadata management, and data quality
• Exposure to DevOps practices in data platform delivery and operations
• Experience working with business units to develop long-term strategies for data platform architecture
• Proactive in identifying and implementing improvements to data architecture and processes
• Familiarity with BI tools and improving data accessibility for data-driven decision making
• Experience supporting teams and IT/D products in data modelling and analysis

Requirements

Soft Skills
• Assuming personal responsibility & demonstrating reliability
• Own Initiatives and perseverance
• Customer Orientation
• Conceptual skills
• Decision making
• Ability to Cooperate
• Excellent written and verbal communication skills

Professional Expertise
• Diploma/Bachelors or equivalent degree in Computer Science, IT, electronics and commu-nications
• Minimum 8 years of professional experience in relevant Data Platform field i.e., Cloud, Data Engineering
• Ability to take ownership for data integration and data management
• Experience with Azure Data Lake, Azure Synapse, Azure Data Factory, SQL Data Ware-house, Azure Blob, Azure Storage Explorer
• Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, cus-tom Azure development etc.
• Experience into SQL stored procedures, Viwes, functions, SAP ODATA etc.
• Knowledge or experience in row level security, GIT, CI/CD, PowerShell scripting an added advantage.
• Knowledge in streaming technologies, containerized services and new technologies in the market is an added advantage.
• Experience with or knowledge of Agile Software Development methodologies.
• Excellent verbal and written communication skills