Data Engineer - Scala

***We will only be able to move forward with candidates who have ship or hold active s for this role***
What you'll Do:

• Create and maintain optimal data pipeline architecture
• Build data pipelines that transform raw, unstructured data into formats that data analyst can use to for analysis
• Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS Big Data technologies
• Work with stakeholders including the Executive, Product, Engineering, and program teams to assist with data-related technical issues and support their data infrastructure needs.
• Develop and maintain scalable data pipelines and builds out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using scalable distributed Data technologies
• Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
• Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document work
• Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

About you:

• 6+ yrs experience and bachelor s degree in computer science, Informatics, Information Systems or a related field; or equivalent work experience
• Working experience of distributed systems Hadoop/MapReduce, Spark, Hive, Kafka and Oozie/Airflow
• At least 5 years of solid production quality coding experience in data pipeline implementation in Java, Scala and Python
• Experience with AWS cloud services: EC2, EMR, RDS Experience in GIT, JIRA, Jenkins, Shell scripting
• Familiar with Agile methodology, test-driven development, source control management and test automation
• Experience supporting and working with cross-functional teams in a dynamic environment You're passionate about data and building efficient data pipelines
• You have excellent listening skills and are empathetic to others
• You believe in simple and elegant solutions and give paramount importance to quality You have a track record of building fast, reliable, and high-quality data pipelines

Nice to have skills:

• Experience building Marketing Data pipelines including Direct Mail will be a big plus
• Experience with Snowflake and Salesforce Marketing Cloud
• Working knowledge of open-source ML frameworks and end-to-end model development life cycle
• Previous working experience with running containers (Docker/LXC) in a production environment using one of the container orchestration services (Kubernetes, AWS ECS, AWS EKS)EXL Overview
  EXL (NASDAQ: EXLS) is a leading operations management and analytics company that designs and enables agile, customer-centric operating models to help clients improve their revenue growth and profitability. Our delivery model provides market-leading business outcomes using EXL s proprietary Business EXLerator Framework , cutting-edge analytics, digital transformation, and domain expertise. At EXL, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 32,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), South America, Australia, and South Africa. For more information, visit
  Physical Demands and Working Conditions
  Works in a normal office environment requiring light physical effort by handling objects up to 20 pounds occasionally and/or up to 10 pounds frequently. Works with standard office equipment (such as phone, fax, and personal computer). Ability to navigate stairs frequently during the course of a business day in various work locations. Sitting at desk for most of day, and working with computer.
  EEO/Minorities/Females/Vets/Disabilities
  EXL is an equal opportunity employer and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law. *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.