Implementation Engineer

Recruiterflow; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Recruiterflow is looking for a Data Migration Engineer to design, build, and maintain scalable data pipelines and ETL/ELT workflows. The ideal candidate will have over 5 years of experience in Data Engineering and strong proficiency in Python for data processing.

Responsibilities include collaborating with various teams to define data requirements, implementing quality checks, and mentoring junior engineers. Experience with AWS and large-scale datasets is essential.

Qualifications

• 5+ years of experience in Data Engineering or related roles.
• Hands-on experience with cloud-based data architectures.
• Experience with large-scale datasets and distributed processing systems.

Responsibilities

• Design and maintain scalable data pipelines and ETL/ELT workflows.
• Collaborate with teams to define data requirements and solutions.
• Implement data quality checks and governance best practices.

Skills

Python for data processing and automation

ETL/ELT design and implementation

SQL and schema design

AWS services

Data modeling and data migration practices

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS

Airflow

Job description

Data Migration Engineer

Job Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Design and build reusable, idempotent migration frameworks that can rapidly ingest, map, and transform highly variable schemas from legacy competitor platforms.
• Extract, transform, validate, and load large datasets while ensuring data accuracy and consistency.
• Build automation and tooling to improve data processing efficiency and reliability.
• Build robust error-handling, logging, and automated reconciliation reports to prove data fidelity to incoming customers.
• Collaborate with engineering, product, and business teams to define data requirements and solutions.
• Monitor, troubleshoot, and optimize data workflows for performance and scalability.
• Implement data quality checks, validation frameworks, and governance best practices.
• Contribute to architecture discussions and technical decision-making.
• Mentor junior engineers and contribute to engineering best practices.
• Create and maintain technical documentation for data systems and processes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in Data Engineering or related roles.
• Strong proficiency in Python for data processing and automation.
• Hands‑on experience with AWS services and cloud-based data architectures.
• Strong expertise in designing and implementing ETL/ELT pipelines.
• Experience working with large-scale datasets and distributed data processing systems.
• Deep expertise in SQL and schema design, with a strong understanding of relational databases (e.g., MySQL/PostgreSQL) and query optimization.
• Understanding of data modeling, data migration, and data quality best practices.
• Excellent problem‑solving, communication, and collaboration skills.

Nice to Have

• Experience with modern data warehouses and analytics platforms.
• Experience with workflow orchestration tools such as Airflow.
• Exposure to AI/ML data pipelines and data‑intensive SaaS products.
• Experience working in a high‑growth product company environment.