On-Site Data Engineer: Albany | ETL, Cloud & Analytics

Greycell Labs Inc; City of Albany (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Greycell Labs Inc. is seeking an On-Site Data Engineer in Albany, NY for a 12-month engagement. The ideal candidate has a bachelor’s degree and 6+ years in data analytics, Python projects, ETL pipelines, and working with large relational and NoSQL databases.

The role requires building cloud-native or hybrid applications using serverless platforms and delivering robust data visualizations for large datasets. Visa sponsorship is not available.

Qualifications

• Requires at least a bachelor's degree in Engineering, Computer Science, MIS or equivalent.
• 6 years experience with development in medium to large-scale technical projects and ensuring deliverables and scope are met.
• 6 years experience with data analytics including processing, reporting, transformation, visualization.
• 6 years experience with Python based data analytics projects.
• 6 years experience with relational and NoSQL databases (Oracle, Postgres, MongoDB, DynamoDB) with large data.
• 6 years experience with developing and maintaining data processing and ETL pipelines.
• 6 years experience with cloud native and hybrid applications using serverless platforms.
• 6 years experience in designing and implementing data visualizations with large datasets (1M+ records) on analytics platforms such as Tableau

Responsibilities

Skills

Data analytics

Python

ETL pipelines

Data visualization

Relational DBs

NoSQL DBs

Big data

Serverless

Cloud platforms

Education

Bachelor's degree in Engineering / Computer Science / MIS or equivalent

Tools

Oracle

PostgreSQL

MongoDB

DynamoDB

Job description

Greycell Labs Inc. is seeking an On-Site Data Engineer in Albany, NY for a 12-month engagement. The ideal candidate has a bachelor’s degree and 6+ years in data analytics, Python projects, ETL pipelines, and working with large relational and NoSQL databases.

The role requires building cloud-native or hybrid applications using serverless platforms and delivering robust data visualizations for large datasets. Visa sponsorship is not available.