Data Engineer (Life Sciences) – Databricks
Location: Chennai (Onsite 100%)
Immediate Joiner would be preferred.
Experience : 4+ Year to 7 Year
Job Description
As a Data
Engineer at Databricks, you’ll play a crucial role in transforming raw data
into actionable insights for life sciences applications. Your expertise in data
engineering, cloud technologies, and domain-specific knowledge will drive
innovation and accelerate scientific discoveries. Here’s what you’ll be
responsible for:
Data Integration and
Architecture:- Collaborate with data
scientists, analysts, and other stakeholders to understand data
requirements and provide appropriate solutions.
- Implement best practices
for data governance, security, and compliance.
- Develop and maintain
comprehensive documentation for data processes and architectures.
Big Data Technologies:- Utilize Databricks platform
to address big data challenges.
- Work on end-to-end design,
build, and deployment of industry-leading big data and AI applications.
- Implement transformational
projects, including 3rd-party migrations and reference architectures.
Technical Skills:- Proficiency in Apache
Spark™, Kafka, and Cloud Native technologies.
- Strong experience in the
Databricks ecosystem.
- Comfortable writing code in
Python or Scala.
- Familiarity with SQL
Engines and performance tuning.
- Knowledge of data modeling
principles (including Dimensional modeling).
Life Sciences Domain:- Understand life sciences
data, including genomics, clinical trials, and healthcare datasets.
- Apply domain-specific
knowledge to optimize data pipelines and analytics.
Qualifications
- Bachelor’s degree in
Computer Science, Data Science, or a related field.
- 4+ years of experience in a
customer-facing post-sales, technical architecture, or consulting role.
- Experience working across
cloud platforms (GCP / AWS / Azure).
- Documentation and white
boarding skills.