Job Description
Stratacent is seeking a seasoned Cloud Data Engineer who has expertise and hands on Experience in AWS Ecosystem, Pyspark and Python.
Required Skills:
• Pyspark hands on experience to integrate with AWS Step functions.
• Create business logic to accommodate dynamic data sources (including cloud data sources e.g. snowflake) as input or output.
• Having hands-on experience on API integration using python.
• Having hands-on experience dealing with JSON and Parquet files within an AWS ecosystem.
• Strong fundamentals on AWS data ecosystem (S3, EC2, Dynamo DB, Glue)
About Us:
Stratacent is an IT Managed Services firm, headquartered in Jersey City, NJ, with two global delivery centres in New York City area and New Delhi area plus offices in London, Canada and Pune, India.
We are a leading IT services provider focusing in Financial Services, Insurance, Healthcare and Life Sciences. We help our customers in their digital transformation journey and provide solutions around cloud infrastructure, containers, AI, Client & Analytics and Automation.
We have partnerships with SAS, Automation Anywhere, Snowflake, Azure, AWS and GCP.
(To learn more: www.stratacent.com ).
Benefits
• Health Insurance (Co Pay)
• Vision Plan
• Dental Plan
• Paid Time Off
• 401k (No Match)
• Continuous Learning Program
Stratacent is an equal opportunity employer. As such, to the extent defined by federal, state, and municipal law, Stratacent will not discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, age, sex, national origin, ancestry, handicap, or any other factor protected by law.
Requirements
- Stratacent is seeking a seasoned Cloud Data Engineer who has expertise and hands on Experience in AWS Ecosystem, Pyspark and Python
- Pyspark hands on experience to integrate with AWS Step functions
- Create business logic to accommodate dynamic data sources (including cloud data sources e.g. snowflake) as input or output
- Having hands-on experience on API integration using python
- Having hands-on experience dealing with JSON and Parquet files within an AWS ecosystem
- Strong fundamentals on AWS data ecosystem (S3, EC2, Dynamo DB, Glue)