Hybrid AWS Data Engineer
SUMMARY:
The AWS Data Engineer is responsible for designing, building, and maintaining data processing systems and pipelines on the AWS cloud platform utilizing AWS services like S3, Redshift, DMS, and Glue like to construct scalable, reliable, and efficient data solutions. Responsibilities include data modeling, ETL processes, and ensuring data quality and security.
LOCATION:
- This position is located in Newark, NJ.
- This team typically goes into the office 2+ days a week.
RESPONSIBILITIES:
- Design, implement, and maintain data pipelines, data warehouses, and other data solutions using AWS services.
- Develop and implement ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading into data storage systems.
- Create and manage data models to ensure data integrity and facilitate efficient data analysis.
- Implement and maintain data security and compliance measures, including access controls, encryption, and data masking.
- Ensure data quality, accuracy, and consistency through data validation, cleansing, and monitoring.
- Collaborate with data scientists, business analysts, SAP functional SMEs and other stakeholders to understand requirements and deliver data solutions that meet business needs.
- Diagnose and resolve data-related issues and performance bottlenecks.
- Keep up with the latest AWS services and data engineering best practices.
REQUIREMENTS:
- US Citizenship.
- Bachelors’ degree in Information Technology or related field. (Additional years of experience may be considered in lieu of a degree.)
- 5+ years of experience in AWS services (such as S3, Redshift, DMS, Glue, and Lambda).
- Experience with data warehousing concepts and technologies.
- Strong SQL skills for data querying and manipulation.
- Proficiency in programming languages like Python or Java.
- Understanding of data modeling principles and techniques.
- Experience with ETL (Extract, Transform, Load) processes and tools.
- Knowledge of data security best practices and compliance requirements.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.
Background Check and Drug Screen may be required.
Pay range is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. Talascend also offers a variety of benefits including: health and disability insurance, 401(k), EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, plan requirements, schedule type, and client work site mandates.
Talascend is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.