Data Engineer

Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to end datastore migration from on-prem DataLake to AWS hosted LakeHouse.

Responsibilities of the Engineer include:

1. Pipeline Migration

1. Logic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the current Lakehouse environment.
2. Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity.
3. Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "hand-off and sign-off" conversations with data owners to ensure migrated assets meet business requirements.

2. Consumption Pattern Migration

1. Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg.
2. Usage analysis: Understand usage patterns to deliver the required data products.
3. Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "hand-off and sign-off" conversations with data owners to ensure migrated assets meet business requirements.
4. Data Reconciliation & Quality

3. A rigorous approach to data validation is required. Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows.

Engineer will also need to work with internal data management platforms team and must have an aptitude for learning new workflows and language constructs as necessary.

Technical Skills:

1. Basic Qualifications

1. Education: Bachelor's or Masters in Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
2. Experience:



Minimum of 3-5 years of professional "hands-on-keyboard" coding experience in a collaborative, team-based environment. Ability to trouble shoot (SQL) and basic scripting experience.
3. Languages: Professional proficiency in Python or Java.
4. Methodology: Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience.

2. Core Data Engineering Competencies: Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation:

1. Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2).

VDart: Digital Consulting & Staffing Solutions

VDart is a leading digital consulting and staffing company founded in 2007 and headquartered in Alpharetta, Georgia. VDart is one of the top staffing companies in USA & also provides technology solutions, supporting businesses in their digital transformation journey. Digital consulting services, Digital consulting agency

Core Services:

- Digital consulting and transformation solutions
- Comprehensive staffing services (contract, temporary, permanent placements)
- Talent management and workforce solutions
- Technology implementation services

Key Industries: VDart primarily serves industries such as automotive and mobility, banking and finance, healthcare and life sciences, and energy and utilities. VDart - Products, Competitors, Financials, Employees, Headquarters Locations

Notable Partnership: VDart Digital has been a consistently strong supplier for Toyota since 2017 Digital Transformation Consulting & Strategy Services | VDart Digital, demonstrating their capability in large-scale digital transformation projects.

With over 17 years of experience, VDart combines staffing expertise with technology solutions to help organizations modernize their operations and build skilled workforce capabilities across multiple sectors.

📌 Data Engineer (Bengaluru)
🏢 VDart Software Services
📍 Bengaluru