Sr Data Developer
Required: Sr. Data Developer
Hybrid
Interview: Webex
Designated Work Location: 40 North Pearl, Albany NY
Duration: 14 months
Mandatory Qualifications:
Desirable Qualifications:
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
Hybrid
Interview: Webex
Designated Work Location: 40 North Pearl, Albany NY
Duration: 14 months
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
- 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
- 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
