Job Description
About the Role:
We are seeking Senior Technical Lead - Data engineer with around 10+ years of experience to support and enhance our enterprise data warehouse platforms. This role is critical in delivering high-quality master data solutions across the organization, utilizing modern tools like Databricks and Azure to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a semiconductor environment.
Requirements
- Minimum 10+ years of experience building and scaling data platforms, data architecture, data modelling, and data warehousing.
- At least 3+ Years of experience working as an designing enterprise data solutions.
- Must have architect experience on technologies like (Azure SQL, Python, PySpark, Databricks, Azure, Kafka etc)
- Well versed with Agile methodologies and CI/CD deployment models.
- Strong experience with cloud data technologies including Azure, Python Scripting, Apache Airflow and Databricks.
- Passion for working with data and deriving insights to answer business questions that drive actions and decision-making
- Strong Experience in SQL and Data Modelling tools & concepts.
- Experience with data virtualization and data mesh architectures.
- Experienced in one or more automation and scheduling tools (for example Redwood, Airflow, etc.)
- Experience leveraging creative analytics techniques and output to tell a story to drive business decisions.
- Solid business acumen, and critical problem-solving ability, with a capacity for strategic thinking.
- Comfort level with ambiguity and ability to manage multiple projects at the same time.
Professional Certifications
- Miust hold any Architect certification
- Miust hold any cloud certification (AWS or AZURE or GCP)
