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Senior Data Engineer - ADAP @ Appen

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 Senior Data Engineer - ADAP

Job Description

  • 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 AWSs 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.
Qualifications:
    • Bachelors Degree in Computer Science, Information Systems, or a related field. A Masters Degree is preferred.
    • 5-7 years of hands-on experience with 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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Appen
Location(s): Hyderabad

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Keyskills:   Networking Data management Data modeling Data structures Healthcare Apache Automotive SQL Python

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Appen

Appenics is an certified web mobile applications development company, it has offices in USA, Canada, Australia and headquarter situated in India. We have a team of more than 150 highly skilled, experienced and fully energetic members. Appenics is an IT consulting and solution providing organization...