Overview
On Site
Hybrid
Up to $50
Full Time
Accepts corp to corp applications
Skills
Ab Initio
Agile
Alteryx
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services
Apache Kafka
Application Development
Cloud Computing
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Cross-functional Team
Data Analysis
Data Engineering
Data Flow
Data Lake
Data Science
Extract
Transform
Load
GitLab
Informatica
Jenkins
Linux
Machine Learning (ML)
Data Validation
Data Warehouse
Debugging
DevOps
Electronic Health Record (EHR)
Management
Problem Solving
Python
Root Cause Analysis
SQL
Scripting
Storage
Test Cases
Testing
Unix
Waterfall
Job Details
Job Requirements for Data Engineering role:
Must Haves Skills
- Extensive experience with Python scripting and Cloud Technologies
- Minimum 5 years of IT and Data Related Experience needed.
- Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift and SageMaker
- Experience in Automating ETL process with Python and Automation around AWS Data & Infrastructure.
- Experience with building Python Automation Frameworks around Data Process, Data Analysis and Data Validation.
- Extensive Experience with SQL/Unix/Linux scripting is a must.
- Extensive experience on Developing/testing Cloud/On Prem ETL (Ab Initio, AWS Glue, Informatica, Alteryx).
- Experienced in large-scale application development testing Cloud/ On Prem Data warehouse, Data Lake, Data Science.
- Experience in building Data flow CI/CD pipelines in GitLab.
Strong experience of Kafka.
Nice to Have Skills
- ETL testing Experience and Data applications
- Experience using Jenkins and Gitlab
- Experience using both Waterfall and Agile methodologies.
- Experience in testing storage tools like S3, HDFS
- Experience with one or more industry-standard defect or Test Case management Tools
- Extensive experience in DevOps/Data Ops space.
- Experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O.
Soft Skills
- Great communication skills (regularly interacts with cross functional team members)
- Who takes Ownership to complete the tasks on time with less supervision
- Guiding developers and automation teams in case of an issue
- Monitoring, reviewing, and managing technical operations
- Effective problem-solving expertise, trouble shooting, code debugging, and root cause analysis skills.
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