Analytics – JD (Azure DE)
EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 61,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 12,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.Please visit www.exlservice.com for more information about EXL Analytics.Job Title:
Consultant / Senior Consultant – Azure Data Engineering
Location:
India – Gurgaon preferred
Industry:
Insurance Analytics & AI Vertical
- Role Overview:
- We are seeking a hands-on Consultant / Senior Consultant with strong expertise in Azure-based data engineering to support end-to-end development and delivery of data pipelines for our insurance clients.
- The ideal candidate will have a deep understanding of Azure Data Factory, ADLS, Databricks (preferably with DLT and Unity Catalog), SQL, and Python and be comfortable working in a dynamic, client-facing environment.
- This is a key offshore role requiring both technical execution and solution-oriented thinking to support modern data platform initiatives.
- Collaborate with data scientists, analysts, and stakeholders to gather requirements and define data models that effectively support business requirements
- Demonstrate decision-making, analytical and problem-solving abilities
- Strong verbal and written communication skills to manage client discussions
- Familiar with working on Agile methodologies - daily scrum, sprint planning, backlog refinement
- Key Responsibilities & Skillsets:
- o Design and develop scalable and efficient data pipelines using Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
- o Build and maintain Databricks notebooks for data ingestion, transformation, and quality checks, using Python and SQL.
- o Work with Delta Live Tables (DLT) and Unity Catalog (preferred) to improve pipeline automation, governance, and performance.
- o Collaborate with data architects, analysts, and onshore teams to translate business requirements into technical specifications.
- o Troubleshoot data issues, ensure data accuracy, and apply best practices in data engineering and DevOps.
- o Support the migration of legacy SQL pipelines to modern Python-based frameworks.
- o Ensure adherence to data security, compliance, and performance standards, especially within insurance domain constraints.
- o Provide documentation, status updates, and technical insights to stakeholders as required.
- o Excellent communication skills and stakeholder management
- Required Skills & Experience:
- 3–7 years of strong hands-on experience in data engineering with a focus on Azure cloud technologies.
- Proficient in Azure Data Factory, Databricks, ADLS Gen2, and working knowledge of Unity Catalog.
- Strong programming skills in both SQL, Python especially within Databricks Notebooks. Pyspark expertise is good to have.
- Experience in Delta Lake / Delta Live Tables (DLT) is a plus.
- Good understanding of ETL/ELT concepts, data modeling, and performance tuning.
- Exposure to Insurance or Financial Services data projects is highly preferred.
- Strong communication and collaboration skills in an offshore delivery model.
- Required Skills & Experience:
- Experience working in Agile/Scrum teams
- Familiarity with Azure DevOps, Git, and CI/CD practices
- Certifications in Azure Data Engineering (e.g., DP-203) or Databricks
- What we offer:
- EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
- You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
- Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
- We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
- Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.
"EOE/Minorities/Females/Vets/Disabilities"
