Implementation Engineer

Recruiterflow; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Recruiterflow is seeking a highly skilled Implementation Engineer (Data Migration Engineer) to design and operate scalable data pipelines, manage data migrations, and build cloud-native data solutions that power our recruiting platform.

You will collaborate with cross-functional teams to define data requirements, implement robust ETL/ELT processes, ensure data quality, and mentor junior engineers while documenting architectures and best practices.

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 optimisation.
• Understanding of data modelling, data migration, and data quality best practices.

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 optimise 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.

Skills

Python

SQL

ETL/ELT

Distributed systems

Data pipelines

Data modeling

Mentoring

Problem solving

Communication

Education

Bachelor's degree

Tools

AWS

Airflow

MySQL

PostgreSQL

Data Warehouses

Job description

We are looking for a highly skilled Implementation Engineer (Data Migration Engineer) to join our growing engineering team. In this role, you will be responsible for building scalable data pipelines, managing data migration initiatives, and developing reliable cloud-native data solutions that power critical business functions. You will collaborate across teams, drive technical decisions, and ensure data quality, integrity, and performance across our platform. Join us if you want to solve complex data challenges while building products that transform the recruiting industry.

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 optimise 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.

Requirements

• 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 optimisation.
• Understanding of data modelling, 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.