Data Engineer

Key Skills

AWS, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Data Modeling, Data Warehousing, ETL frameworks, Infrastructure as code, Lambda, Leadership Skill, Python Programming

Job Description

For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses. 

Role and Responsibilities:

• Manage and provide leadership around data infrastructure and data engineering by overseeing development, customization, and management of data integration tools, databases, warehouses, and analytical systems

• Work across a wide range of problems in the data ingestion, data compute, data transport, data orchestration, data interoperability, experimentation, and data privacy areas

• Review and integrate data into readily available formats while maintaining existing structures and govern their use according to business requirements

• Manage the evaluation and integration of new data sources as they become available and monitor the performance, scalability, and security of data

• Identify and improve the technical competencies within the team and establish practices for delivering engineering excellence

• Partner with client engineering teams to understand their data needs and help create tools and automation that helps them derive value from their data

• Works with the Business Intelligence delivery team to build out target information delivery architecture across PowerBI

• Lead by example, role-modeling best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting and incident response.

Requirement/Competencies:

• Bachelor’s or Master’s (preferred) degree in in a quantitative or technical field such as Computer Science, Information Technology, Computer Engineering or equivalent

• 4+ years IT experience in software development for data systems at scale (building data warehouse, data marts, data lakes, ETL, analytic solutions, etc.)

• 3+ years of experience implementing solutions with AWS, specifically data services (EC2, EMR, RDS, Redshift, Aurora-Postgres, Glue ETL, Lambda, SNS, SQS etc)

• Knowledge of market trends including cloud technology

• Demonstrated interest in learning about emerging data platforms and Big Data technologies

• Expert working knowledge of Python programing language, SQL, and data modeling, with the ability to understand the context of a business question and build a holistic answer

• Experience modeling data in a warehouse such as Snowflake, Redshift, and or BigQuery

• Managed agile/scrum team(s) before of different skill levels and know when to be a motivator, coach, or a player

• Strong communication, problem solving, and organizational skills

• Must be detail oriented, quality driven, and able to shift quickly to new tasks

EEO/Minorities/Females/Vets/Disabilities 

Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits. 

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