Information Technology
Full-Time
Technogen India Pvt. Ltd.
Overview
Work Location : Hyderabad
Work Shift: Day Shift
Exp : 5 to 8 Years
Open Role: 1
Position Summary
Appen is on the lookout for a seasoned Senior Data Engineer to join our rapidly expanding team. As a Senior Data Engineer, you will leverage your deep technical expertise and leadership skills to drive the development of cutting-edge software solutions that will shape the future of AI and machine learning.
Key Responsibilities
Work Shift: Day Shift
Exp : 5 to 8 Years
Open Role: 1
Position Summary
Appen is on the lookout for a seasoned Senior Data Engineer to join our rapidly expanding team. As a Senior Data Engineer, you will leverage your deep technical expertise and leadership skills to drive the development of cutting-edge software solutions that will shape the future of AI and machine learning.
Key Responsibilities
- Design, build, and manage large scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS.
- Ensure the performance, availability, and security of datasets across our organization, utilizing AWS's robust suite of tools for data management.
- Collaborate with data scientists, software engineers, product managers and other key stakeholders to develop data-driven solutions and models.
- Translate complex functional and technical requirements into detailed design proposals and implement them .
- Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team.
- Identify, troubleshoot, and resolve complex data-related issues.
- Champion best practices in data management, ensuring the cleanliness, integrity, and accessibility of our data.
- Optimize and fine-tune data queries and processes for performance. Evaluate and advise on technological components, such as software, hardware, and networking capabilities, for database management systems and infrastructure.
- Stay informed on the latest industry trends and technologies to ensure our data infrastructure is modern and robust.
- Bachelor's Degree in Computer Science, Information Systems, or a related field. A Master's Degree is preferred.
- 5-7 years of hands-on experience with DBT, AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow.
- Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows.
- Experience with Python, and/or Java.
- Deep understanding of data structures, data modeling, and software architecture.
- Experience with AI and machine learning technologies is highly desirable.
- Strong problem-solving skills and attention to detail.
- Self-motivated and able to work independently, with excellent organizational and multitasking skills.
- Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
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