About the job
SummaryBy Outscal
We seek a Senior Data Engineer with 4+ years of experience in ETL tools, Python, PySpark, Airflow, and DBT to design & build scalable data architectures and pipelines.
Description
We are looking for a Data Engineer with 4+ years of experience to help implement our company's Data Management Strategy. This role is essential in building and designing data architectures and pipelines that are secure, scalable, and reliable, spanning across all our solutions and products.
Key Responsibilities:
- Design and develop robust and scalable data architectures.
- Build and maintain data pipelines that ensure data integrity and performance.
- Implement best practices for data security and scalability across various platforms.
- Collaborate with cross-functional teams to support data-driven decision-making.
Requirements
Must-Have Skills:
- 4+ years of experience with ETL tools, Python, PySpark, Airflow, and DBT.
- Expertise in building and optimizing data pipelines and architectures.
Desired Skills:
- Experience with Data Lakehouse and NiFi.
- Familiarity with advanced data engineering concepts and technologies.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Why Join Us?
- Play a key role in implementing our Data Management Strategy across diverse solutions.
- Work in a collaborative environment with opportunities for growth and innovation.
- Competitive compensation and an exciting array of data challenges.
Benefits
- Provident Fund
- Gym Membership
- Leaves as per the company policy.
- Company-paid trips
- Easy Loan Facility for Employees
- Yearly increment
- Health Insurance (includes spouse and parents) (till the age of 80)