Data Engineer - AWS and PySpark
Pune, Maharashtra, India · Jornada completa
Sé el primero en postularte
- Experiencia
- 4–8 años
- Salario
- —
- Vacantes
- 1
- Al corriente
- hace 1 día
- Modo de trabajo
- En la oficina
- Educación
- Cualquier graduado
- Elegibilidad
- Individuals holding Any Graduate degree or a B.Tech/B.E. in any discipline are eligible to apply.
- Reanudar
- Se requiere solicitud
Dónde trabajarás
Descripción del trabajo
About EY India
EY India provides an elite strategy consulting practice committed to delivering sustainable value to clients, employees, and the firm. As part of the Strategy and Transactions segment, EY-Parthenon combines professionals from diverse strategic backgrounds with insightful industry knowledge. They foster leadership, encouraging collaboration across multiple service lines to maximize strategic, transactional, and restructuring outcomes, thereby reshaping work for significant client impact.
Role Overview
We seek an experienced Data Engineer skilled in PySpark and AWS to design and enhance scalable data pipelines and processing systems.
Key Responsibilities & Requirements
- Expertise in PySpark and Python programming.
- Proficient in utilizing AWS technologies such as S3, EMR, Glue, Lambda, and Redshift.
- Strong command of SQL and foundational knowledge of data warehousing principles.
- Experience in designing and implementing ETL and ELT workflows.
- Understanding of data modeling techniques and methods for optimizing system performance.
Additional Preferred Qualifications
- Familiarity with Databricks platform.
- Exposure to Continuous Integration/Continuous Deployment (CI/CD) practices and Agile development methodologies.
Additional Details
- Work Locations: Bangalore, Pune, or Delhi NCR.
- Immediate joiners will be given preference.