2 months ago
India (city not specified)Senior
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and manage dbt projects, including incremental models, snapshots, tests, macros, and documentation.
- Develop high-performance data models and optimize complex SQL queries and database designs.
- Implement data ingestion and integration processes from multiple data sources.
- Use AWS services to build cloud-native data solutions.
- Ensure data quality, governance, security, and compliance across data platforms.
- Collaborate with business stakeholders, analysts, architects, and engineering teams to translate requirements into technical solutions.
- Create reusable data models, documentation, and engineering best practices.
- Monitor and troubleshoot production data pipelines for reliability and performance.
- Mentor junior team members and participate in code reviews, architectural discussions, and solution design workshops.
- Support BI and reporting initiatives with curated and trusted datasets.
Requirements
- At least 8 years of hands-on data engineering or analytics engineering experience.
- Advanced SQL development, performance tuning, data modeling, query optimization, and database design experience.
- Strong experience developing and maintaining dbt projects.
- Hands-on experience with AWS data and cloud services.
- Strong Python development experience for data engineering and automation, including Pandas, NumPy, and API integrations.
- Experience with ETL/ELT frameworks, data warehousing, dimensional modeling, and scalable data processing frameworks.
- Exposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.
- Experience with Airflow or other workflow orchestration tools is preferred.
- Strong communication, stakeholder management, problem-solving, collaboration, and mentoring skills.
- Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field is preferred.
- AWS Associate or Professional certification is preferred.
- Experience with modern cloud data platforms and analytics ecosystems is preferred.
- Knowledge of Snowflake, Databricks, Power BI or Tableau, data governance and data quality frameworks, and Terraform or CloudFormation is a nice-to-have.
Benefits
- Flexible, hybrid, or remote work arrangement.
Tech Stack
Categories
Data Engineering
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).