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Senior Databricks Engineer

EXL Service -
Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Qualifications

Azure
Computer Science
Big data
Spark
Regulatory reporting
Master's degree
SQL
AWS
Bachelor's degree
Distributed systems
Unity
S3
Fraud prevention and detection
Kafka
Information Technology

Full job description

Job Description: We are looking for a skilled and passionate Senior Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be responsible for creating Databricks pipeline delivering Financial Crime platforms covering Anti-Money Laundering (AML), Know Your Customer (KYC), Customer Risk Assessment (CRA), Sanctions Screening, Transaction Monitoring, Fraud Detection, and Regulatory Reporting

Responsibilities: Databricks Platform Engineering

Design, build, and maintain Databricks workspaces, clusters, and compute pools across dev/test/prod environments.
Configure and manage Databricks Unity Catalog for data governance, access control, fine-grained permissions, and data lineage.
Optimize cluster configurations — instance types, auto-scaling policies, spot/preemptible nodes — for cost and performance.
Implement workspace-level best practices: folder structures, access controls, secret management (Databricks Secrets / Azure Key Vault / AWS Secrets Manager).

Delta Lake & Lakehouse Architecture

Design and implement Delta Lake tables with appropriate partitioning, Z-ordering, and file compaction (OPTIMIZE / VACUUM).
Build Medallion Architecture (Bronze / Silver / Gold) layers for structured data lake organization.
Implement Delta Live Tables (DLT) pipelines for declarative, reliable ETL/ELT with built-in data quality expectations.
Manage schema evolution, table versioning, time travel, and Change Data Feed (CDF) for incremental processing.

Data Pipeline Development (PySpark / SQL)

Develop scalable batch and streaming data pipelines using PySpark, Spark SQL, and Delta Lake.
Build structured streaming pipelines for real-time ingestion from Kafka, Event Hubs, and Kinesis into Delta tables.
Write optimized PySpark transformations leveraging broadcast joins, adaptive query execution (AQE), and dynamic partition pruning.
Create reusable transformation libraries, utility frameworks, and pipeline templates for team productivity.
Implement robust error handling, retry logic, and dead-letter queue patterns in production pipelines.

Qualifications: Education

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.

Experience

6-8 years of total experience in data engineering or software engineering.
4+ years of dedicated hands-on experience with the Databricks platform in production environments.
Strong background in big data engineering, cloud data platforms, and distributed computing.

Apply Now

Refine Your Search

fraud manager jobs in chennai tamil nadu

Senior Databricks Engineer

Senior Clinical Data Associate

accounting and finance

ELECTRICAL ENGINEER

Associate Manager ERP Package Applications

Senior Data Analyst

Supervisor

Team Lead E&M

Technical Specialist - Power System Study

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