Lead Data Engineer (India)

Lead Data Engineer (India)

03 Aug
|
Solutionara
|
India

03 Aug

Solutionara

India

Job Title: Lead Data Engineer – Migration & Transformation (Enterprise Programs)

Location: Noida, India (On-site – Global Delivery Center, Sector 62)

Experience: 6 – 10 years (flexible for strong enterprise consulting profiles)Employment Type: Full time

About Solutionara

Solutionara is a U.S.-based IT Consulting and Technology Services firm with a Global Delivery Center in Noida, India.

We partner with enterprises to deliver transformation across integration, data, and digital experience platforms.

As a fast-scaling consulting firm, we operate with high ownership, lean teams, and disciplined execution. We are also evolving toward an AI-enabled delivery model, where governance, reporting, and decision-making are increasingly driven by automation and data intelligence.

Role Summary

We are hiring a Lead Data Engineer to drive execution of data migration and transformation programs across enterprise systems.

This role combines:

- Hands-on data engineering
- Migration execution leadership
- Collaboration with architects and program teams

You will act as:

- Lead engineer for migration pipelines
- Execution owner across ETL and data transformation
- Key contributor to AI-enabled data workflows

Key Responsibilities

Data Engineering & Migration Execution

- Build and manage:
- ETL/ELT pipelines
- Data ingestion and transformation workflows
- Execute data migration across:
- ERP systems
- Data platforms
- PIM/DAM/CDP ecosystems
- Ensure:
- Data consistency
- Data validation and reconciliation
- High-performance pipeline execution

Transformation & Data Quality

- Perform:




- Data profiling and cleansing
- Data mapping and transformation
- Implement frameworks for:
- Data validation and error handling
- Data quality monitoring

AI-Driven Engineering Practices

- Use AI tools to:
- Automate data transformation logic
- Detect anomalies in datasets
- Improve data quality and consistency
- Contribute to:
- AI-enabled automation frameworks
- Intelligent data enrichment pipelines

Platform & Integration Work

- Work with:
- APIs, middleware, and integration services
- Support migration into:
- Cloud data platforms (Snowflake, Redshift, BigQuery)

Collaboration & Leadership

- Work closely with:
- Architects
- Program managers
- Data and AI teams
- Mentor junior engineers and ensure delivery quality

Required Qualifications (Screening Critical)

- 6 –10 years in data engineering/ETL/migration roles
- Strong hands-on experience with:
- ETL/ELT tools (Informatica,Talend, dbt, Databricks, etc)
- SQL and data transformation
- Cloud platforms (AWS, Azure, GCP)
- Experience in:
- Data migration projects
- Integration-heavy environments
- Strong debugging and problem-solving skills

Preferred Qualifications (Differentiators)

- Experience with:




- Snowflake / Databricks / modern data platforms
- Exposure to:
- AI tools in data workflows
- Experience in:

o PIM/DAM/CDP ecosystems

- Prior experience in consulting environments

Ideal Candidate Profile

You are:

- A hands-on builder who enjoys solving data challenges
- Comfortable working in fast-paced, evolving environments
- Solid in execution with attention to data quality
- Interested in applying AI to improve engineering efficiency

Success Metrics

- Accuracy and completeness of migrated data
- Stability and performance of pipelines
- Reduced manual effort via automation
- Timely delivery of migration milestones

Pay: ₹500,000.00 - ₹1,200,000.00 per year

Benefits:

- Cell phone reimbursement
- Internet reimbursement
- Paid sick time
- Paid time off
- Provident Fund

Ability to commute/relocate:

- Noida, Uttar Pradesh (Noida): Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

- Which ETL/ELT tools have you used in production? (Select all that apply)

Informatica
Talend
dbt
Azure Data Factory
AWS Glue
Custom pipelines (Python/SQL)
None

- Describe one data migration project you worked on. What was your role and what tools/technologies did you use?
- Which data platforms have you worked with? (Select all that apply)

Snowflake
Databricks
Redshift
BigQuery
Traditional RDBMS (Oracle, SQL Server, MySQL)
None

- Have you used AI tools or automation in your data engineering work? What tools have you used?

Work Location: In person

📌 Lead Data Engineer (India)
🏢 Solutionara
📍 India

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