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.

4. Documentation & Technical Governance

• Document technical designs, architecture decisions, and development approaches.
• Ensure proper documentation of all major technical decisions taken during implementation.

5. 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.

6. 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.

7. 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