Developer-Level III

Mandatory Qualifications:
 Level III- More than seven (7) years of experience working on complex projects
with 2 or more years in a leadership role as a Developer
 More than seven(7) years of experience in designing end-to-end
architecture for an enterprise Data Integration hub for centralized data
ingestion and transformation for various ingestion patterns(batch and
event-driven)
 More than (7) years proven experience with SQL/NoSQL databases, API
development (REST/SOAP), version control (Git), and building data integrations
between on-premises & cloud systems

Desirable Qualifications:
 More than (7) years proven experience with standardizing Api
consumption, error handling, re-tires, and throttling.
 More than (7) years of experience in managing schema evolution and
backward compatibility supporting legacy transformations
 More than (7) years’ hands-on experience in designing and implementing
data integration hub
 More than (7) years proven experience in complex API based workflows,
data governance, metadata and lineage tooling
 More than (7) years of experience in integrating Informatica with
Databricks as the hubs’ transformation and curation engine
 More than (7) years of experience in designing hub-based data
publishing mechanisms for data warehouses and analytics
 More than (7) years proven experience with security standards (OAuth,
SAML), data governance, performance tuning, and relevant cloud/integration
certifications

 More than seven(7) years of experience in event streaming platforms and
cloud integration architectures
Duties/Responsibilities:
Design and Develop Service based data integration architectures.Build ELT pipelines
with Databricks using PySpark and Databricks SQLImplement batch and incremental
data loads, including CDC patterns.Create reusable, standardized integration
patterns.Establish logical and physical integration layers, curation and
distribution.Working with cross-functional teams (developers, product managers, etc.) to
define integration requirements and ensure successful integration. Identifying and
resolving integration related issues, optimizing performance, and ensuring data security.
Creating and maintaining clear and comprehensive documentation for internal users
and stakeholders