Data Engineering Manager

AiQMEN; Dadri; On-site; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Comprehensive benefits

Opportunities for professional development

Team events and social activities

Job summary

AiQMEN is seeking an experienced Data Engineer to lead the design of scalable data architecture and develop robust ETL/ELT pipelines. You will work with AWS or Azure to build and manage complex data solutions, leveraging advanced SQL and Python skills. The role demands expertise in data orchestration technologies and experience with Generative AI tools. This is an opportunity to join a collaborative team focused on innovation within a supportive work culture in Dadri, India.

Qualifications

• Hands-on experience optimizing large and complex queries in production environments.
• Experience designing and delivering ETL/ELT pipelines for various data types.
• Strong understanding of data security and governance principles.

Responsibilities

• Lead data architecture design and build scalable data platforms.
• Design, build and launch new ETL/ELT processes for data.
• Build and manage data pipelines on AWS or Azure.

Skills

Advanced SQL skills

Proficiency in Python

Cloud platform experience (AWS or Azure)

Data orchestration technologies knowledge

Generative AI tool experience

Tools

Apache Airflow

AWS Glue

Azure Data Factory

Job description

Who we are

Driven by a profound passion for delivering exceptional value, we leverage Data and AI to become a trusted partner of our clients in solving their business challenges. Our team consists of the best-of-breed analysts and engineers who adapt to state-of-the-art technologies, offering flexibility and agility to meet customer needs. Our solution approach utilizes cutting‑edge techniques and innovation to accelerate value realization.

With our headquarters in Noida, Delhi NCR we operate across key markets to deliver impactful, high‑quality solutions.

About the Role

Being in growth phase, we are looking for experienced professionals who can be part of the journey.

Responsibilities:

• Lead data architecture design including ingestion, transformation, storage, and consumption layers for scalable data platforms.
• Design, build and launch new data extraction, transformation and loading (ETL/ELT) processes for structured, semi‑structured and unstructured data.
• Create and maintain data models (star schema or equivalent), transforming source data into warehouse‑ready structures.
• Build and manage data pipelines on cloud platforms including AWS and/or Azure, leveraging native services for storage, compute and orchestration.
• Manage and optimise data orchestration workflows using tools such as Apache Airflow or equivalent schedulers.
• Champion the adoption of Generative AI tools to accelerate engineering workflows, automate documentation and improve data quality processes.
• Build integrations within internal infrastructure and with third‑party systems such as Salesforce, AWS, and other cloud or SaaS platforms.
• Optimize large complex queries to reduce run time and improve efficiency across the data platform.
• Lead technical design reviews, sprint planning and architecture discussions with cross‑functional teams.
• Mentor junior and mid‑level engineers, drive code reviews and enforce data engineering best practices.

Requirements:

• Advanced SQL skills with hands‑on experience optimising large and complex queries in production environments.
• Proficiency in Python for data engineering and pipeline development.
• Proven experience designing and delivering ETL/ELT pipelines handling structured, semi‑structured (JSON, Parquet, XML) and unstructured data.
• Strong hands‑on experience with at least one major cloud platform (AWS or Azure), leveraging native services such as Glue, S3, Redshift, Azure Data Factory, ADLS or Synapse; GCP exposure is a plus.
• Previous work within a cloud data warehouse such as Snowflake, Amazon Redshift, Azure Synapse or BigQuery.
• Experience with data orchestration technologies such as Airflow, Prefect or equivalent, and familiarity with infrastructure‑as‑code tooling.
• Practical experience using Generative AI or AI‑assisted development tools such as GitHub Copilot, Cursor or LLM‑based code assistants in an engineering workflow.
• Strong understanding of data security, access control and governance principles.
• Ability to communicate technical concepts clearly to non‑technical stakeholders.

Nice to Have:

• Familiarity with data lakehouse formats such as Apache Iceberg, Delta Lake or Apache Hudi.
• Exposure to MLOps practices and tooling for productionising machine learning pipelines.
• Cloud certifications in AWS, Azure or GCP data engineering tracks.

What you can expect

Life at AiQMEN is characterized by an open culture and a collaborative environment that promotes continuous learning and growth. We offer a rewarding career with ample opportunities for professional development and personal achievement. Employees benefit from a respectful environment and comprehensive benefits, ensuring well‑being and work‑life balance. At AiQMEN, you’ll find a supportive team that embraces diversity and inclusion, making it an exciting and fulfilling place to work. Join us and experience a career that’s more than just a job, but a journey towards innovation and excellence. Enjoy a fun and engaging workplace with regular team events, social activities, and celebrations that create lasting memories and camaraderie.

Location : So, are you the one? Let us know at [e-mail]