- +1
- +7
- Texas, United States
Über
About Client:
Client is a company that helps other businesses use technology to improve and grow. They provide services like creating computer programs, managing computer systems, and making sure everything is secure. Client works with different industries like telecommunications, healthcare, banking, and retail to help them use new and exciting technologies like artificial intelligence, cloud computing, and the Internet of Things. These technologies can make businesses more efficient and innovative.
They have offices and people working all around the world, and their team of experts helps businesses solve their technology challenges. Client also cares about making a positive impact on society and the environment, so they support social causes and work to conserve resources.
Salary Range: $120K-$130K/Annum
Job Description:
We are looking for a skilled Data Engineer to design and manage scalable data pipelines, enabling efficient data processing and analysis.
You will work with cloud technologies (primarily
AWS ), data platforms (like
Snowflake ), and streaming tools ( Kafka ) to build high-performance, reliable data solutions.
Key Responsibilities:
Design and implement data pipelines using
AWS Glue ,
Kafka ,
Pyspark , and
SQL .
Build and maintain data workflows using
Python
and
Snowflake .
Troubleshoot and optimize data processes for performance and reliability.
Collaborate with cross-functional teams to ensure data quality and availability.
Required Skills:
Experience with
AWS
(Glue, S3, EC2).
Strong SQL and data modeling skills.
Proficiency in
Python ,
Pyspark , and data pipeline orchestration.
Familiarity with
Kafka
and
Snowflake
for real-time and batch data processing.
About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.
If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com.
Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.
Wünschenswerte Fähigkeiten
- AWS
- S3
- EC2
- Kafka
- PySpark
- SQL
- Python
Berufserfahrung
- Data Engineer
Sprachkenntnisse
- English