GCP Data Engineer

EXL; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

EXL Analytics is seeking a hands-on Cloud Data Engineer to optimize data pipelines and ensure scalable, high-performance ETL/ELT processes across our cloud environment. You will collaborate with Architects, Engineers, Data Scientists and product leaders to deliver data-focused solutions aligned with business goals.

You will work on day-to-day data tasks, participate in planning, and implement improvements to data delivery, scalability, and automation using SQL, Python and cloud services.

Qualifications

• 5+ years building data pipelines in a cloud platform.
• Strong Python scripting experience required.
• Experience with GCP or other clouds (AWS/Azure).

Responsibilities

• Work closely with application development and data engineers on day-to-day tasks.
• Participate in project planning and implementation.
• Coordinate with Data Scientists, Product Managers and business leaders to understand data needs and deliver on those needs.
• Create and maintain optimal data pipeline architecture.
• 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 loading of data from a wide variety of data sources using SQL and other data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Improve, optimize and identify opportunities for efficient software development processes.
• Help achieve milestones as per sprint plan and prioritize to manage ad-hoc requests in parallel with ongoing sprints.

Skills

ETL/ELT pipelines

Python scripting

GCP

NoSQL

CI/CD automation

Healthcare data

Tools

Jenkins

Git

Control-M

Job description

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

The Cloud Data Engineer is a hands-on role responsible for performance, availability and scalability of the public cloud environment. You will collaborate with other Architects and Engineers to enable enterprise applications to meet the organizations business goals.

Role and Responsibilities:

• Work closely with application development and data engineers on day-to-day tasks.
• Participate in project planning and implementation.
• Coordinate with Data Scientists, Product Managers and business leaders to understand data needs and deliver on those needs.
• Create and maintain optimal data pipeline architecture.
• 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 loading of data from a wide variety of data sources using SQL and other data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Improve, optimize and identify opportunities for efficient software development processes.
• Help achieve milestones as per sprint plan and prioritize to manage ad-hoc requests in parallel with ongoing sprints.

Required Qualifications:

• 5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform
• GCP knowledge strongly preferred - other cloud experience such as AWS. AZURE is ok
• 5+ years of hands-on experience of building and operationalizing data processing systems
• Strong Python scripting experience is very important requirement
• 2+ years’ experience in NoSQL databases and close familiarity with technologies/languages such as Python/R, Scala, Java, Hive, Spark, Kafka
• 2+ years’ experience working with data platforms (Data warehouse, Data Lake, ODS)
• 2+ years’ experience working with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)
• Must have working experience with the clinical data
• 3+ years of experience working on healthcare / clinical data

Preferred Qualifications:

• Data analysis / Data mapping skills
• Python
• Cloud Data flow/Data proc/Function
• Whistle map SDK

What we offer:

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
• You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
• Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.