Staff Data Engineer at Illumina

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, ManufacturingIndustries

Requirements

10+ years of experience as a Data Engineer
Python
Spark
SQL
Snowflake
dbt (Data Build Tool)
Machine Learning
Deep understanding of operations organizations, particularly in supply chain, product lifecycle management, and manufacturing functions
Experience with SAP Hana (a plus)
Experience with Teamcenter applications (a plus)

Responsibilities

Lead the design, development, and optimization of complex data solutions
Utilize big data processing frameworks like Apache Spark to efficiently process large volumes of operational data
Implement advanced data modeling, machine learning algorithms, and predictive analytics to derive actionable insights
Leverage cloud-based data platforms such as Snowflake for data storage, management, and analysis
Utilize dbt for data modeling, transformation, and documentation to ensure data quality and integrity
Monitor and optimize complex data pipelines, ETL processes, and machine learning models
Conduct data profiling, cleansing, and validation to ensure data quality
Collaborate with cross-functional teams (operations stakeholders, data scientists, business analysts, and IT teams) to understand operational challenges and deliver insights

Skills

Key technologies and capabilities for this role

PythonSparkSQLSnowflakedbtMachine Learning

Questions & Answers

Common questions about this position

What is the location requirement for this role?

The position is onsite in Bangalore.

What is the salary for this Staff Data Engineer position?

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include Python, Spark, SQL, Snowflake, dbt, and machine learning, with deep domain expertise in operations like supply chain, product lifecycle management, and manufacturing.

What is the experience level needed for this position?

Candidates need 10+ years of experience as a Data Engineer.

What does Illumina's mission say about the company culture?

Illumina's mission is expanding access to genomic technology to realize health equity for billions of people, enabling life-changing discoveries that transform human health.

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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