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Senior Data Engineer – Databricks Specialist

AceNet Consulting
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

CI/CD
Data modelling
Big data
Spark
SQL
Distributed systems
Continuous integration
Unity
APIs
AI
Python

Full job description

Experience: 6 to 9 years
Location: Bengaluru, Gurgaon, Pune
Job code: 101519
Posted on: May 29, 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 seeking a highly skilled Senior Data Engineer with deep expertise in Databricks and modern big data technologies to join our growing data engineering team. The ideal candidate will have strong experience building scalable cloud-native data platforms, optimizing large-scale Spark workloads, and implementing enterprise-grade data solutions.
This role requires hands-on technical leadership, strong problem-solving skills, and the ability to work in a fast-paced, data-driven environment.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL/ELT frameworks using Databricks.
Build optimized distributed data processing solutions using Apache Spark and PySpark.
Implement and manage Lakehouse architecture using Delta Lake.
Integrate data from multiple sources including APIs, databases, streaming platforms, and cloud storage systems.
Develop high-performance batch and real-time data processing workflows.
Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
Perform Spark job tuning, cluster optimization, and cost-performance improvements.
Ensure data quality, governance, reliability, and security standards across the platform.
Automate deployments and workflows using CI/CD best practices.

Role Requirements and Qualification:

6+ years of experience in Data Engineering or Big Data technologies.
Strong hands-on expertise in Databricks.
Extensive experience with PySpark, Spark SQL, and distributed computing.
Strong programming skills in Python and SQL.
Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
Strong understanding of data modeling, partitioning, and optimization techniques.

Why Join Us:

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.

Apply Now

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