Lead Assistant Manager - Big Data Engineer
Dallas, TX, United States
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.
Job Description:
The ideal candidate should have good programming skills in python, PySpark and knowledge of ML-Ops, building ML models using open source libraries. An ideal candidate is some one who has a good mix of data engineering and data science skills – the primary focus been on data engineering.
Client is working on health equity initiative, Predict and prevent with SDOH and environmental data. So if someone has worked on SDOH data will be added advantage.
Responsibilities:
4 + years of knowledge in Big Data environment – GCP Big Query, Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines.
3 + years of experience in building data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards.
Understanding of ML-ops, ML modelling, proven track record to wrangle data for exploratory data analysis.
Strong programming skills in SQL, Python, Spark, and Scala / Java ( Good to have but not mandatory)
Develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.
Demonstrated ability to handle multiple assignments.
Excellent verbal and written communication skills.
Extensive experience with databases as well interpretation and manipulation of related data.
GCP Certification Preferred
EEO/Minorities/Females/Vets/Disabilities
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.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.
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.
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