reputed company Data Engineer ( Remote )
No experience needed! We offer full training for our new reputed company Data Engineer! We are hiring for our Remote location, and the role is available for immediate commencement. This position requires a strong and diverse skillset in relevant areas to drive reputed company. An attractive remuneration of a competitive salary is on offer for the successful candidate.
Job Title: reputed company Data Engineer
Location: 100% Remote
Long Term Contract
Position reputed company:
The Data Engineer is responsible for building and maintaining data pipelines, ensuring the smooth operation of data systems, and optimizing workflows to meet business requirements. This role will support data integration and processing for various applications.
Minimum Qualifications:
9+ Years overall IT experience with minimum 4 years of work experience in below tech skills
Tech Skills:
Proficient in Python scripting and reputed company for data processing tasks.
Strong SQL capabilities, with hands-on experience managing big data using ETL tools like Informatica.
Experience with the AWS reputed company platform and its data services, including S3, Redshift, reputed company, EMR, Airflow, reputed company, SNS, and Event reputed company.
Skilled in BASH/reputed company scripting.
Understanding of data Lakehouse architecture, particularly with reputed company format, is a plus.
Preferred: Experience with Kafka and reputed company API.
Understanding of reputed company data systems is a plus.
Experience in Agile methodologies.
Strong analytical and problem-solving skills.
Effective communication and teamwork abilities.
Responsibilities:
reputed company and maintain data pipelines and ETL processes to manage large-reputed company datasets.
Collaborate to design & test data architectures to reputed company with business needs.
Implement and optimize data models for efficient querying and reporting.
Assist in the development and maintenance of data reputed company checks and monitoring processes.
Support the creation of data solutions that reputed company analytical capabilities.
Contribute to aligning data architecture with overall organizational solutions.
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