Lead Data Engineer at Thermo Fisher Scientific

Hyderabad, Telangana, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Life SciencesIndustries

Requirements

Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Information Systems, or a related field
Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations
Expertise in ETL/ELT tools, data warehousing, and cloud-native platforms such as Databricks, Snowflake, or BigQuery
Strong hands-on experience with SQL, Apache Spark, and Python (experience with Pandas preferred)
Proficient in working with large datasets and performance optimization for distributed computing environments
Prior experience with tools like Informatica, Cognos, SQL Server, and Oracle is a strong plus
Deep understanding of data modeling, metadata management, and data governance frameworks
Demonstrated experience in leading engineering teams and managing project lifecycles
Familiarity with DevOps/DataOps practices, version control systems (e.g., GitHub), and CI/CD pipelines
Excellent communication, leadership, and collaborator management skills
Experience working in cloud environments such as AWS, Azure, or GCP

Responsibilities

Lead the build, development, and optimization of scalable, secure, and high-performance data pipelines and architectures
Lead and guide a team of data engineers and analysts, encouraging teamwork and technical excellence
Implement standard methodologies for DataOps across the platform to uphold 99.99+% availability, reliability, and recovery standards
Build and maintain robust data models and frameworks, ensuring they align with enterprise architecture and governance standards
Collaborate with cross-functional teams, including analytics, product, and business units to deliver high-impact, data-driven solutions
Ensure data quality and validation through automated testing, monitoring, and anomaly detection techniques
Own planning, prioritization, and execution of data engineering projects — delivering on time and within scope
Contribute to platform scalability, performance tuning, and migration initiatives, including support for real-time data flows
Deliver technical documentation and code reviews to uphold engineering standards and maintain knowledge continuity
Support data privacy, security, and compliance requirements in line with global regulatory standards

Skills

ETL

ELT

DataOps

Data Pipelines

Data Architecture

Data Modeling

Automated Testing

Monitoring

Anomaly Detection

Real-time Data Flows

Data Governance

Data Security

Thermo Fisher Scientific

Provides life sciences products and services

About Thermo Fisher Scientific

Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.

Waltham, MassachusettsHeadquarters

1956Year Founded

$17MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Increased competition in single-use bioprocessing may impact market share.

Sale of anatomical pathology business could create a temporary product gap.

Investment in miDiagnostics may face regulatory challenges affecting returns.

Differentiation

Thermo Fisher offers a comprehensive range of life sciences products and services.

Their well-known brands include Thermo Scientific, Applied Biosystems, and Invitrogen.

They provide strong customer support and educational resources to optimize client workflows.

Upsides

Expansion of biologics production facility enhances capacity for precision biologics monitoring.

Investment in miDiagnostics aligns with demand for rapid diagnostic solutions in BioPharma.

Collaboration with Mainz Biomed positions them in the growing cancer detection market.

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