Data Engineer / ETL Developer

1. Scope & Impact Analysis * Collaborate with business and stakeholders to define solution scope. * Analyze and document impacts on upstream/downstream systems, business logic, and workflows. * Ensure traceability across applications and data flows.

2. Agile Delivery & Estimation * Participate in Agile ceremonies and contribute to product backlog refinement. * Perform story point estimation for JIRA stories and align with Client validation. * Deliver sprint commitments as per defined timelines.

3. Development & Coding * Design and develop scalable data solutions using:

• Data Warehousing, ETL, PL/SQL
• Python, PySpark, Snowpark, Streamlit
• AWS (S3, Glue, Lambda, EMR)
• Follow Test-Driven Development (TDD) practices; ensure all components meet TDD criteria before completion.
• Maintain high coding standards, reusability, and performance optimization.

1. Documentation & Technical Governance * Document technical designs, architecture decisions, and development approaches. * Ensure proper documentation of all major technical decisions taken during implementation.

2. Testing & Quality Assurance * Support SIT (System Integration Testing) by resolving identified defects. * Ensure successful migration from Dev SIT UAT environments post unit testing. * Collaborate with business stakeholders during UAT and resolve defects promptly. * Adhere to defined UAT timelines aligned with release schedules.

3. Production Support & Continuous Improvement * Analyze and resolve existing/past production defects in collaboration with Client . * Prioritize fixes based on business input and include in sprint deliverables. * Continuously enhance system stability and performance.

4. Governance & Stakeholder Communication * Participate in monthly status meetings with Program Managers (Client & Supplier). * Provide updates on progress, risks, and issue resolutions. * Ensure transparency and alignment with program objectives., Location: Jersey City, NJ Salary Range: Competitive Introduction Work closely with business partners to develop requirements, record and document the design and work closely …, Why join this team: Develops robust Business Intelligence and data warehouse solutions using SSAS, SSRS, MS SQL Server and other BI technologies. Supports reports development and… + 2 months ago, Why join this team Develops robust Business Intelligence and data warehouse solutions using SSAS, SSRS, MS SQL Server and other BI technologies. Supports reports development and … + 2 months ago

• Strong experience in Data Warehousing & ETL development

• Proficiency in:

• Python, PySpark, Snowpark, Streamlit
• PL/SQL
• AWS (S3, Glue, Lambda, EMR)
• Hands-on experience with Agile (Scrum) methodologies
• Strong expertise in test-driven development (TDD) practices
• Experience in end-to-end data pipeline implementation and support

Preferred Skills

• Experience working in banking/financial services environments
• Strong understanding of data flow, integration patterns, and large-scale systems
• Exposure to production support and release management

Key Success Metrics

• On-time sprint delivery with quality outputs
• Defect reduction and faster resolution cycles
• Adherence to TDD and coding standards
• Effective stakeholder communication and alignment