About the role
structured by ORIExperience: 1-3 years of experience. Role Objective We are seeking a Data Engineer with 1- 3 year of experience to join our Data Platform team.
What you will do
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions
- Work with other team with deep experience in ETL process, distributed microservices, and data science domains to understand how to centralize their data
- Share your passion for staying experimenting with and learning new technologies.
- Perform thorough data analysis, uncover opportunities, and address business problems.
What they are looking for
- 1-3 years of experience.
- Knowledge and experience working with Python/Scala and PySpark
- Experienced in Azure Data bricks, Azure Blob Storage, Azure Data Lake, Delta lake.
- Experience working with Spark SQL
- Experience in creating pipelines and databricks dashboards
- Experience with Azure cloud environments
- Experience with acquiring and preparing data from primary and secondary disparate data sources
- Experience working on large scale data product implementation, responsible for technical delivery.
- Good understanding of OOPs and design patterns
Nice to have
- Experience working with agile methodology preferred
Full posting text
Experience: 1-3 years of experience.
Role Objective We are seeking a Data Engineer with 1- 3 year of experience to join our Data Platform team. This role will report to the Manager of data engineering and be involved in the planning, design, and implementation of our centralized data warehouse solution for ETL, reporting and analytics across all applications within the company.
Qualifications Knowledge and experience working with Python/Scala and PySpark
Experienced in Azure Data bricks, Azure Blob Storage, Azure Data Lake, Delta lake.
Experience working with Spark SQL
Experience in creating pipelines and databricks dashboards
Experience with Azure cloud environments
Experience with acquiring and preparing data from primary and secondary disparate data sources
Experience working on large scale data product implementation, responsible for technical delivery.
Good understanding of OOPs and design patterns
Experience working with agile methodology preferred
Responsibilities Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions
Work with other team with deep experience in ETL process, distributed microservices, and data science domains to understand how to centralize their data
Share your passion for staying experimenting with and learning new technologies.
Perform thorough data analysis, uncover opportunities, and address business problems.
Key skills: agile, data warehouse, azure data lake, data analysis, customer success, data engineer, databricks, data engineering, azure cloud, analytics, cloud, azure blob storage, data science, design patterns, employee benefits, etl, agile methodology, azure.
Role: Data Engineer
Industry Type: BPM / BPO
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education: UG: Any Graduate
Education: PG: Any Postgraduate