Job summary
Job post source
This job is from a recruiting firm hiring for a separate company as indicated by the contact email and phone number provided for resume submission and inquiries, suggesting a recruiter intermediary.
Job overview
The Lead Data Engineer role at EXL involves providing technical expertise in data modeling, data movement, and optimizing data architecture to support business needs and long-term solutions.
Responsibilities and impact
The candidate will translate business needs into data models, analyze data system integration challenges, and support setting data architecture direction to ensure business value.
Experience and skills
The position requires 10+ years of data engineering experience, strong skills in Spark, Scala, and Python, expertise in ETL processes, knowledge of star and snowflake schemas, and familiarity with AWS services like S3 and Glue is preferred.
Work environment and culture
The role is based in Fremont, CA with a hybrid work model of 3 days onsite and 2 days remote, indicating a flexible work environment.
Job location and travel
The job is located in Fremont, California with a hybrid schedule requiring three days onsite and two days working from home.
Application process
Applicants are instructed to send their updated resume in Word format to the provided email and can contact the recruiter by phone for more information.
Company overview
EXL, or ExlService Holdings, Inc., is a global operations management and analytics company that helps businesses enhance their operational efficiency and decision-making capabilities. Founded in 1999 and headquartered in New York, EXL provides services such as data analytics, finance and accounting, operations management, and customer experience management. The company primarily generates revenue through long-term contracts with clients across various industries, including insurance, healthcare, banking, and financial services. Key historical milestones include its IPO in 2006 and strategic acquisitions to expand its service offerings and geographic reach.
How to land this job
Tailor your resume to emphasize over 10 years of experience in data engineering, highlighting strong technical skills in Spark and Scala, as these are critical for the Lead Data Engineer role at EXL.
Showcase your expertise in Python and ETL processes, along with familiarity with data modeling concepts like star and snowflake schemas, to align with the job's technical requirements.
Apply through multiple platforms including EXL's corporate careers page and LinkedIn to maximize your chances of being noticed for this urgent role.
Connect with current EXL employees in the data engineering or analytics divisions on LinkedIn; start conversations by referencing recent EXL projects involving big data or by asking about the team’s use of AWS services like S3 and Glue.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Spark', 'Scala', 'Python', 'ETL', 'data modeling', 'AWS S3', and 'Glue' to ensure it passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, find relevant job portals, and identify LinkedIn contacts, allowing you to focus your energy on preparing for interviews and networking effectively.
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