Senior Data Engineer
We are seeking a highly skilled Databricks Data Engineer to design, build, and optimize scalable data pipelines and lakehouse architectures. The ideal candidate will have strong expertise in Apache Spark, PySpark, Delta Lake, and modern cloud-based data platforms, with the ability to transform complex business requirements into reliable and performant data solutions.
Location : All Brillio Location:
Experience:4 to 8yrs
🔧 Key Responsibilities
1. Data Engineering & Pipeline Development
Design and develop scalable ETL/ELT pipelines using PySpark and Spark SQL
Build and maintain Databricks workflows (Jobs) for orchestration
Implement Delta Live Tables (DLT) for declarative pipeline development
Develop and manage batch and streaming data pipelines
2. Lakehouse Architecture Implementation
Design and implement Medallion Architecture (Bronze, Silver, Gold layers)
Build curated datasets for analytics and reporting
Optimize storage using Delta Lake best practices
3. Data Ingestion & Integration
Ingest data from multiple sources:
Databases (RDBMS, NoSQL)
APIs and streaming platforms (Kafka, Event Hubs)
Files (CSV, JSON, Parquet)
Handle structured and semi-structured data efficiently
4. Delta Lake & Performance Optimization
Implement:
ACID transactions
Schema enforcement and evolution
Change Data Capture (CDC)
Optimize Spark jobs using:
Partitioning strategies
Caching and broadcast joins
File compaction and indexing (Z-ORDER)
5. Data Quality & Governance
Implement data validation and quality checks
Ensure compliance with data governance standards
Use Unity Catalog for access control and data lineage
Maintain auditability and data traceability
6. Monitoring & Reliability
Build logging, monitoring, and alerting for pipelines
Troubleshoot failures and optimize performance
Ensure high availability and fault tolerance
7. Collaboration & Delivery
Work closely with Data Analysts, Data Scientists, and stakeholders
Translate business requirements into data models and pipelines
Participate in Agile ceremonies (Sprint planning, stand-ups, retrospectives)
✅ Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field
4–8+ years of experience in Data Engineering
Strong hands-on experience with:
Databricks platform
PySpark and Spark SQL
Delta Lake
Experience with:
ETL/ELT pipeline development
Distributed data processing
Solid understanding of:
Data modeling (Star/Snowflake schemas)
Data warehousing concepts
⭐ Preferred Qualifications
Experience with Delta Live Tables (DLT)
Knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions)
Experience with streaming frameworks (Kafka, Spark Streaming)
Familiarity with cloud platforms:
Azure / AWS / GCP
Experience with MLflow and MLOps workflows
Domain experience (e.g., Healthcare, Finance, Retail)
🛠️ Technical Skills
Languages: Python, SQL
Frameworks: Apache Spark
Tools: Databricks, Delta Lake, MLflow
Data Formats: Parquet, Delta, JSON, Avro
Orchestration: Databricks Workflows / Airflow
Version Control: Git
💡 Soft Skills
Strong problem-solving and analytical thinking
Excellent communication skills
Ability to work in a collaborative environment
Attention to detail and data quality
🚀 Nice-to-Have (Optional Add-ons)
Experience with real-time analytics
Exposure to data governance tools
Certification in Databricks or Cloud platforms
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Founded in 2014 as a digitally native full-service digital transformation services and consulting firm, we apply our expertise in customer experience transformation, data analytics, Artificial Intelligence (AI), platform and product engineering, cloud infrastructure, and security to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
Headquartered in Dallas, Texas, we are powered by a diverse global team of world-class professionals across the U.S., the UK, Romania, Canada, Mexico and India, and are certified a Great Place to Work®. We help clients harness the transformative potential of the four superpowers of technology: cloud computing, Internet of Things (IoT), AI, and mobility. We bring deep expertise across the full spectrum of digital capabilities:
• Accelerating customer experience transformation to drive growth, customer advocacy, and superior customer experience
• Powering intelligent enterprises by harnessing the potential of data, analytics, and AI
• Crafting products of relevance with a product mindset and high-performance engineering
• Enabling enterprise agility with resilient cloud infrastructure and security
To learn more, please visit https://www.brillio.com/ and follow us here or @brillioglobal.
