Staff Data Engineer

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Position Summary:

We are seeking a highly experienced Senior Staff Data Engineer with 10+ years of experience to join our talented team in Bangalore. This position will lead our data engineering efforts in Bangalore. In this strategic role, you will be responsible for designing, implementing, and optimizing complex data solutions using Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies. Additionally, you will bring deep domain expertise in operations organizations, with a focus on supply chain, product life cycle management, and manufacturing functions. Experience with SAP Hana and Teamcenter applications is a plus. If you're a seasoned data engineer with a proven track record of delivering impactful data solutions in operations contexts, we want to hear from you.

Responsibilities:

• Lead the design, development, and optimization of complex data solutions using Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies.
• Apply deep domain expertise in operations organizations, particularly in functions like supply chain, product life cycle management, and manufacturing, to understand data requirements and deliver tailored solutions.
• Utilize big data processing frameworks such as Apache Spark to process and analyze large volumes of operational data efficiently.
• Implement advanced data modeling, machine learning algorithms, and predictive analytics to derive actionable insights and drive operational decision-making.
• Leverage cloud-based data platforms such as Snowflake to store, manage, and analyze structured and semi-structured operational data at scale.
• Utilize dbt (Data Build Tool) for data modeling, transformation, and documentation to ensure data consistency, quality, and integrity.
• Monitor and optimize complex data pipelines, ETL processes, and machine learning models for performance, scalability, and reliability in operations contexts.
• Conduct data profiling, cleansing, and validation to ensure data quality and integrity across different operational data sets.
• Collaborate closely with cross-functional teams, including operations stakeholders, data scientists, business analysts, and IT teams, to understand operational challenges and deliver actionable insights.
• Stay updated on emerging technologies, best practices, and industry trends in data engineering, machine learning, and operations management, contributing to continuous improvement and innovation within the organization.

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.

Preferred Experience/Education/Skills:

• Bachelor's degree in Computer Science, Engineering, Operations Management, or related field. Advanced degree (e.g., Master's or PhD) preferred.
• 10+ years of experience in data engineering, with proficiency in Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies.
• Strong domain expertise in operations organizations, particularly in functions like supply chain, product life cycle management, and manufacturing.
• Strong domain expertise in life sciences manufacturing equipment, with a deep understanding of industry-specific challenges, processes, and technologies.
• Experience with big data processing frameworks such as Apache Spark and cloud-based data platforms such as Snowflake.
• Hands-on experience with data modeling, ETL development, machine learning, and predictive analytics in operations contexts.
• Familiarity with dbt (Data Build Tool) for managing data transformation and modeling workflows.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and operations stakeholders.
• Experience with SAP, SAP HANA and Teamcenter applications is a plus.
• Eagerness to learn and adapt to new technologies and tools in a fast-paced environment.

We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.