AceNet
Senior Data Engineer
Location: Bengaluru, Gurgaon, Pune
Job code: 101508
Posted on: May 20, 2026
About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary:
We are looking for a Senior Data Engineer to join a core platform team. This is a hands-on role combining data architecture, software engineering, and multi-cloud platform delivery. You will be involved in designing and building the data foundations that underpin enterprise analytics and downstream consumption working across cloud environments and engaging directly with stakeholders to drive platform quality.
1.Platform Experience:
- Proven experience contributing to or leading enterprise data platform builds.
- Data governance, data quality frameworks, and data modelling (conceptual, logical, physical).
- Ability to establish and maintain a single source of truth across complex data environments.
- Strong hands-on coding in SQL and Python; able to write clean, production-grade code.
- ETL/ELT pipeline development, error handling, and performance optimisation.
- Version control (Git), CI/CD practices, and Agile delivery experience.
- Able to translate business requirements into platform-level technical designs.
- Experience producing architecture artefacts and data flow documentation.
- Comfortable leading technical discussions and reviewing others' designs.
- Hands-on experience across at least two cloud platforms — AWS, Azure, GCP, or Databricks.
- Familiarity with cloud-native data services (e.g. Redshift, S3, ADF, ADLS, Databricks, BigQuery).
- Ability to design and deliver cloud-agnostic solutions adaptable across vendor environments.
- Nice to have: Palantir data engineering experience.
- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
- Competitive compensation & benefits, ESOPs and international assignments.
- Supportive environment with healthy work-life balance and a focus on employee well-being.
- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.
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