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Data Engineer 3

3 months ago

Bengaluru, India [24]7.ai Full time

About the Company:

(24)7.ai uses artificial intelligence, human insight, and deep vertical expertise to produce personalized, consistent, and satisfying customer experiences. The company's advanced conversational AI platform, combined with more than 20 years of contact center operational expertise, empowers the world's largest and most recognizable brands to deliver natural, frictionless conversations across all digital and voice channels. No matter what industry, the measure of success is in the numbers. At (24)7.ai, we understand the challenges that are top of mind for customer-centric organizations—and we know how to deliver results. Our solutions and services are purpose-built to make an impact on the metrics that matter most: CSAT scores, revenue, and ROI. See what kind of measurable impact you can be a part of. Our company DNA is based on 20 years of contact center experience with a cloud-native CCaaS platform powered by industry-leading conversational AI, over 173 patents and a fully managed CXaaS offering. We are a global leader in technology, contact center operations and great place to work, recognized by industry analysts:



  • Leader in Forrester Wave for Conversational AI 2021
  • Leader in Ovum Intelligent Virtual Assistant 2021
  • Leader in Everest CXaaS 2021
  • India's Best Workplaces for Women 2021
  • Top 20 Best Places to Work for Women (Guatemala)
  • Philippines Best Employer Brand Award 2020



At (24)7.ai, you will find a team of people who are passionate about using artificial intelligence, machine learning, and human intelligence to help some of the world’s leading brands connect with their customers. For more information, visit:


Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines using Python, Pandas, Spark, and Dataflow.
  • Strong background in relational databases such as SQL Server or MySQL along with a deep understanding of the Cloud Platform.
  • Analyze and integrate disparate systems / data using ETL processes and logic to provide timely and accurate information to visualization team and business stakeholders.
  • Optimize and troubleshoot data pipelines for performance, reliability, and scalability.
  • Ensure data integrity and quality throughout the pipeline by implementing validation and testing strategies.
  • Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
  • Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
  • Develop and maintain documentation for data pipelines, including design documents, code comments, and operational guides.
  • Provide technical support for production issues including troubleshooting, query and process optimization.
  • Provide technical guidance and mentorship to junior team members, promoting best practices and continuous learning.
  • Having knowledge on analytics using PowerBI, Tableau, Data studio and Apache SuperSet.


Qualifications:

A bachelor’s degree in computer science / information science / data science from a reputed university or college


Required Skills:

8 -11 years Relevant Experience in design and development.

Excellent customer-facing and internal communication skills.


Preferred Skills:

Knowledge on analytics using PowerBI, Tableau, Data studio and Apache SuperSet