Overview
On Site
Depends on Experience
Contract - W2
Skills
API
Amazon Web Services
Apache Spark
Big Data
Cloud Computing
Code Review
Collaboration
Conflict Resolution
Confluence
Continuous Delivery
Continuous Integration
Database
Continuous Integration and Development
Data Integration
Data Modeling
Data Warehouse
DevOps
Distributed Computing
Docker
Extract
Transform
Load
FOCUS
IBM DB2
Informatica
Informatica PowerCenter
Issue Tracking
JIRA
Java
Kubernetes
NoSQL
PostgreSQL
Problem Solving
Production Support
Project Management
PySpark
Python
SQL
ServiceNow
Snow Flake Schema
Technical Support
Workflow
Job Details
Responsibilities:
- 10+ years of experience in Informatica Powercentre.
- 5+ years of experience in big data and distributed computing.
- Very Strong hands-on experience with PySpark, Apache Spark, and Python.
- Strong Hands on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc.).
- Proficiency in data modeling and ETL workflows.
- Proficiency with workflow schedulers like Airflow.
- Hands on experience with AWS cloud-based data platforms.
- Experience in DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
- Strong problem-solving skills and ability to lead a team
- Java Development: Strong experience in Java programming, particularly in developing enterprise-level applications and APIs.
- API Integration: Experience in developing and consuming APIs, with a focus on data integration and interoperability.
- CI/CD Practices: Familiarity with Continuous Integration and Continuous Deployment (CI/CD) pipelines and DevOps practices.
- Collaboration Tools: Experience with tools like JIRA, Confluence, and ServiceNow for project management and issue tracking.
- Provide technical support for the administration and production support of Informatica.
- Provide first and second level troubleshooting, and baseline and operational support.
- Adhere to best practices and methodologies for ETL development team.
- Present all work in design and code review sessions to senior team members.
- Prepare documents that describe, and support code developed.
- Identify improvements to the data warehouse environment. Work with the team to implement these solutions.
- Escalate issues to the right party when required.
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