Senior Data Engineer

We are looking for a Senior Data Engineer who will be responsible for designing and implementing scalable, efficient, and robust data architectures. Your role will be to deliver data centric data integration solutions with transformation logic to be consumed by our customers. You will be responsible for collaborating with the Data Architects, Business Analysts, Customers and Solution Architects to understand data requirements and ensure alignment with business goals.

Key Responsibilities:

• Data Engineering Data Modelling- Creating data architectures and logical/physical data models for databases and data warehouses.
• Focus on execution delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data products.
• Lead data engineering teams, building and improving next generation data analytics capabilities within DevSecOps framework.
• Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data technology.
• Be an expert and a thought leader of how data and technology come together to empower the business.
• Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics.
• Supporting software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements.
• Applying knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.

Required Qualifications:

• Requires a minimum of 10 years of related experience with a Bachelor's degree in Computer Science or equivalent, or a Master's degree in Computer Science or equivalent.
• Demonstrated ability to examine issues, drive resolution, and effectively influence across the organization. Capable of challenging the status quo in technology and architecture.
• Exceptional interpersonal and communication skills (both oral and written), including the ability to explain digital concepts and technologies to business leaders and business concepts to technologists.
• 3+ years of experience leading data engineering teams with an excellent understanding of business domains within the semiconductor industry.
• Must have proven experience with RDBMS, SQL NoSQL databases, Big data, Spark and real-time streaming systems.
• Must have experience in Cloud Architecture (Azure, GCP, AWS) and cloud-based databases (Synapse, Databricks, Snowflake, Redshift).
• Must have experience leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within a DevSecOps model.
• Ability to define data pipelines to address data challenges, including different granularity, data gaps, multi-language, structured and unstructured data, and normalization.
• Proven track record of leading multiple high-profile projects with demanding deadlines, changing requirements, and working with defined resources. Ability to estimate required effort and prioritize work items appropriately.
• Expertise in Data Analytics product management, Azure, SQL, and Data Catalog.

Years of Experience: