Data Engineering Engineer 2 #1053141
Role Description
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately
Key Responsibilities:
1) Collaborate with business and technology stakeholders to understand current and future data requirements
2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lake house etc. for structured and unstructured data
5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
6) Ensure optimum performance and identify improvement opportunities
Key Responsibilities / Additional Info
Experience in building data pipelines in cloud. Experience in curating data for ML and statistical models Experience in using python/node js. Experience in performing Enterprise Data Architecture
Skills Required
Big Query,, SQL, Python, GCP, TERRAFORM, DataForm
Role Description
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately
Key Responsibilities:
1) Collaborate with business and technology stakeholders to understand current and future data requirements
2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lake house etc. for structured and unstructured data
5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
6) Ensure optimum performance and identify improvement opportunities
Key Responsibilities / Additional Info
Experience in building data pipelines in cloud. Experience in curating data for ML and statistical models Experience in using python/node js. Experience in performing Enterprise Data Architecture
Skills Required
Big Query,, SQL, Python, GCP, TERRAFORM, DataForm