Professional Services, Senior Consultant– Data Engineer
Today, every organization needs to be digital, powered by data, running in a multi-cloud world, ready to take on anything. Our Consulting team assesses customer’s strategic, organizational and business challenges and uses in-depth industry knowledge to offer technical solutions that apply to future business environment and operational objectives to help our Dell Technologies gain market share and increase efficiency.
Join us to do the best work of your career and make a profound social impact as a Professional Services Senior Consultant on our Consulting Team in Bangalore.
What you’ll achieve
As a senior Data Engineer, you will design and implement high-scale, multi-tenant Data Lakehouse for our clients that serves as the backbone for both real-time analytics and advanced machine learning. Your mission is to move beyond traditional ETL, creating a "data supply chain" that leverages federated query engines, open table formats, and cloud-native scalability to ensure our customer’s data is reliable, governed, and instantly accessible across diverse product lines.
You will:
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Design and operate end‑to‑end Lakehouse architectures using the Medallion (Bronze/Silver/Gold) pattern with Iceberg or Delta Lake, enabling ACID transactions, time travel, and schema evolution.
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Design and optimize Starburst/Trino clusters for high‑performance federated queries across heterogeneous data sources, minimizing latency and data movement.
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Build secure, multi‑tenant batch and streaming pipelines using Spark (PySpark/Scala) and Kafka, with orchestration via Airflow or Dagster.
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Perform deep performance tuning of Spark jobs, Trino queries, and storage layouts (partitioning, compaction, vacuuming) to reduce cost and improve throughput.
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Implement privacy‑by‑design practices (encryption, least‑privilege IAM, data masking) and define, monitor, and enforce SLOs for data freshness, quality, and completeness.
Take the first step towards your dream career.
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
Core Engineering: Expert Python and advanced SQL (CTEs, window functions, query optimization).
Distributed Systems: Production experience with Trino/Presto and Apache Spark.
Modern Table Formats: Hands‑on with Iceberg, Delta Lake, or Hudi at scale.
Cloud Infrastructure: Strong command of cloud storage/compute (AWS, GCP, or Azure).
Storage & Formats: Deep knowledge of Parquet/Avro and query‑pattern optimization.
DevOps & CI/CD: Proficient in Docker, Kubernetes, and CI/CD pipelines.
Desirable Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
10+ years of experience in Data Engineering, with a proven track record of building and scaling production-grade data platforms.
Experience mentoring junior engineers through code reviews, design docs, and pair programming.
An "Impact-Oriented" builder who thrives in high-growth environments and can navigate the ambiguity of evolving architectural patterns. Ability to articulate complex architectural trade-offs (e.g., "Lakehouse vs. Warehouse" or "Federation vs. Ingestion") to both technical and non-technical stakeholders.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 29th May 2026
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
