Position Overview:

The Data Engineer plays an important role as part of Enterprise data platform team. Reporting to the Principal Data Architect, data engineer is responsible for design, develop, build, and optimizes ETL data pipelines, ensuring reliable, scalable, and efficient data processing using AWS Services like Glue, Lambda, S3, Redshift, Kinesis and using open-source table format in ICEBERG integrated with AWS to enable seamless access to quality data for analysis. Familiarity with tools like DBT, AWS SageMaker are integral to their role. Their efforts lay the foundation for robust, trusted and accurate data-driven operations.

Responsibilities:

Work closely with Business Analysts to understand data sources, data transformations, and over-all data flow.
Design, develop and implement data pipelines in an AWS environment, and deployment using CICD.
Solid experience working with API’s and integrating data from diverse sources.
Implement data validation and quality checks to ensure accuracy and consistency.
Deep understanding of Data Modeling, Data Privacy, Security, and governance.
Proactively communicate and build partnership with external & internal IT/Business stakeholders.
Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.

Essential Functions:

Essential Job Function

% of Time on Function

Design, develop and implement data pipelines

50%

Document technical designs and workflows

25%

Implement data validation and quality checks, and support

25%

Total

100%

Job Requirements:

Bachelor's degree or equivalent experience
Required 7+ years of professional hands-on development experience in building ETL data pipelines and data quality, data model, and agile deliverable.
Minimum of 5 years of experience in AWS Cloud Services and Data capabilities
- Required strong hands-on experience in Glue, Glue catalog, Appflow, Step functions, Lake formation, Athena, S3 bucket, Redshift, Lamada, Python, Spark and SQL.
- Strong expertise in ACID compliant, and using open-source table format like Iceberg, Delta Lake etc.
- Solid understanding of CI/CD using GitHub.
Strong analytical, verbal and written communication and interpersonal skills
Well organized, detail oriented with ability to work under pressure and meet deadlines while managing multiple concurrent tasks

Strong work ethic and willingness to take ownership

Ability to work independently
Ad-hoc responsibilities as assigned

Minimum Physical Requirements:

The physical demands described represent those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions of the position for which they work. While performing the duties of this position, the employee is regularly required to listen, talk, and hear. The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls while executing tasks like working on a computer or talking on the telephone. The employee is occasionally required to stand; walk; sit; and reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus. The noise level in the work environment is usually moderate to low.

Salary Range: $98,683.60 - $131,578.13

HomeServe is an Equal Opportunity Employer.

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HomeServe USA

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Data Engineer