Associate Lead - Data Engineer

Inivos (www.inivosglobal.com) leads innovation in technology, specializing in Enterprise Solutions, Product Development, and Staff Augmentation. Our team of over 180 professionals, including consultants, developers, and quality engineers, delivers cutting-edge solutions that set new industry benchmarks. Within just five years, we’ve established a robust client base across North America, the UK, Scandinavia, South Africa, UAE, Sri Lanka, Bangladesh, Singapore, Netherlands and Australia.

Job Description

We are seeking a highly skilled Associate Lead - Data Engineer, and the ideal candidate will play a pivotal role in migrating and transforming data, performing complex data transformations and ensuring seamless integration. As in the position of an Associate Lead - Data Engineer, you will,

• Lead the design, development, and optimization of ETL/ELT pipelines using Azure Data Factory and other Azure services.
• Architect and implement data lake house and data warehouse solutions (Azure Synapse, Delta Lake, Databricks, etc.).
• Develop and maintain Power BI dashboards, reports, and data models to provide actionable insights for stakeholders.
• Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.
• Implement and manage Azure Fabric-based solutions for data integration, scalability, and performance.
• Ensure best practices in data quality, governance, and security across all data platforms.
• Mentor and guide junior data engineers, fostering knowledge-sharing and best practices.
• Participate in agile ceremonies, contributing to sprint planning, reviews, and retrospectives

• Bachelor’s degree in Computer Science, Data Engineering, or related discipline.
• 5+ years of proven experience in data engineering with strong expertise in:
• Azure Data Factory (pipeline design, orchestration, data flows).
• Azure Fabric and other Azure cloud services (Synapse, Databricks, Storage, Analysis Services).
• Power BI (DAX, Power Query, dashboard/report development)
• Strong experience in SQL, Python, and Spark for data transformation and processing.
• Solid understanding of data warehousing concepts, performance optimization, and data modelling
• Hands-on experience with big data and distributed systems (Databricks, Snowflake, Redshift, etc. is a plus).
• Familiarity with CI/CD, version control (Git/Bitbucket), and agile methodologies.
• Excellent problem-solving, communication, and leadership skills.

Competitive compensation.

Recognition & appreciation.

International exposure.

Open work culture.

Remote working model.

Medical & Insurance entitlement.

Recreational activities and events.

Bonus entitlement.