Data Platform Engineer

Data Platform Engineer

We are seeking a data platform engineer who will be responsible for designing, deploying, automating, and supporting enterprise data platform infrastructure built on Cloudera Data Platform (CDP). The role emphasizes platform reliability, automation, and operational excellence by leveraging Ansible to provision, configure, patch, and manage large-scale Hadoop and cloud-based data environments. Working closely with infrastructure, security, DevOps, and data engineering teams, the engineer ensures the platform remains secure, highly available, scalable, and optimized to support critical financial data processing and analytics workloads.

Key Responsibilities:

• Deploy, administer, and maintain Cloudera Data Platform (CDP) clusters across development, testing, and production environments.
• Automate infrastructure provisioning, software installation, configuration management, and patching using Ansible playbooks and roles.
• Monitor platform health, troubleshoot performance issues, and optimize Hadoop ecosystem services.
• Perform cluster upgrades, capacity planning, disaster recovery testing, and lifecycle management.
• Implement security controls including Kerberos, LDAP/Active Directory integration, TLS, and role-based access control.
• Collaborate with data engineering and application teams to support ingestion, processing, and analytics workloads.
• Develop operational automation and CI/CD workflows to improve platform efficiency and reduce manual effort.
• Maintain system documentation, standard operating procedures, and automation artifacts.
• Ensure platform compliance with enterprise security, governance, and regulatory standards.
• Participate in 24 hrs on-call support in rotation (secondary and primary Pager duty).

Required Skills & Qualifications:

• Strong experience in SQL and data modeling
• Experience with workflow orchestration tools like Airflow
• Good understanding of ETL/ELT processes and data pipeline architecture
• Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
• Strong problem-solving and analytical skills
• Excellent Communication skills
• Ability to effectively collaborate with global stakeholders and teams
• Cloudera Data Platform (CDP) and Cloudera Manager
• Ansible automation, playbook development, and configuration management
• Linux system administration (RHEL/CentOS)
• Hadoop ecosystem components (HDFS, YARN, Hive, Impala, Spark, Solr, Kafka, Oozie)
• Shell scripting (Bash) and Python
• Git, Jenkins, and CI/CD pipelines
• Monitoring tools such as Prometheus, Grafana, or Splunk
• Networking, DNS, load balancing, and storage concepts
• Cassandra (docker) knowledge is a plus.
• AI knowledge will be welcomed
• Experience in fintech and banking would also count

Graduate in Computer Science, or related field. 6+ years of experience in data engineering or a related field.

Base Compensation Range: $110,000 - $130,000

About Us:

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents.