Senior Data Engineer
Company Overview and Culture
EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
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.
Responsibilities:
- Collaborate with client stakeholders to understand product and technical requirements
- Build and monitor data pipelines to ingest and transform the data into data platform
- Support large scale data movement, capture data changes and apply incremental data load strategies
- Contribute to the overall team through mentorship, improvement in ways of working, reviewing code and test plans, verifying that design best practices as well as coding and architectural guidelines, standards, and frameworks are adhered to, communicating risk, and addressing roadblocks as they arise
Qualifications (Required):
- Bachelor’s or Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
- Demonstrated leadership ability and willingness to take initiative
- Entrepreneurial hands-on approach to work
- Superior analytical and problem solving skills
- Outstanding written and verbal communication skills
- Effective time management and attention to detail
- 4+ years’ experience in data analytics or data engineering role
- Hands on experience in using SQL, Python and Workflow Schedulers (Apache Airflow, Cron)
- Experience of sourcing and processing data from APIs.
Qualifications (Preferred):
- Experience in using Cloud Platforms (AWS / GCP / Azure)
- Experience in creating and maintaining data pipelines, data marts and dashboards
- Experience in using Visualization tools (Tableau / Power BI)
- Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
To view our total rewards offered click here —> https://www.exlservice.com/us-careers-and-benefits
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.
Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).
EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.
Other details
- Pay Type Salary
- Min Hiring Rate $85,000.00
- Max Hiring Rate $124,000.00
- Jersey City, NJ, USA
- New York, NY, USA