Job Description

<div>
 <strong>
  Experience
 </strong>
 : 4.00 + years
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 <strong>
  Salary
 </strong>
 : USD 2962-3703 / month (based on experience)
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 <strong>
  Expected Notice Period
 </strong>
 : 15 Days
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 <strong>
  Shift
 </strong>
 : (GMT+05:30) Asia/Kolkata (IST)
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 <strong>
  Opportunity Type
 </strong>
 : Remote
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 <strong>
  Placement Type
 </strong>
 : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month)
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 <strong>
  (*Note: This is a requirement for one of Uplers' client - icustomer.ai)
  <br/>
  <br/>
  <strong>
   What do you need for this opportunity?
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   <br/>
   <strong>
    Primary Skills:
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    <br/>
   </strong>
   Excellent Communcations Skills, LLM framework, and Kubernetes., Databricks, DBT, Numpy, Pandas, Snowflake, SQLAlchemy, AWS, Docker, GCP, Jenkins, Python
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   <strong>
    icustomer.ai is Looking for:
   </strong>
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  iCustomer
 </strong>
 is a decision intelligence company.
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 <strong>
  Our offerings include
 </strong>
 :
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 Virtual customer assistants powered by advanced natural language processing to handle customer inquiries and support across multiple channels like chat, email, voice, etc.
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 AI-driven knowledge management tools to curate and serve relevant information to customers and support agents
 <br/>
 <br/>
 Analytical insights and reporting dashboards to measure and optimize customer service performance.
 <br/>
 <br/>
 We're an early-stage startup led by a rockstar team of serial entrepreneurs, dedicated to enhancing data trust. Our mission is to empower businesses to make better, well-informed decisions by providing them with reliable, accurate data insights.
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 <br/>
 At iCustomer, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
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 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will work with seasoned entrepreneurs and learn from the best.
  </li>
  <li>
   We have a dynamic and flexible remote work environment.
  </li>
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   You will work with cutting-edge AI technologies.
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  <li>
   You will make a significant impact in a fast-growing start-up.
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   <br/>
  </li>
 </ul>
 <strong>
  Senior Data Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Team Location Joining
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 </strong>
 Engineering Remote Immediate.
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 <strong>
  What You Will Be Doing:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Candidate experience 3 to 7 years.
  </li>
  <li>
   Design, develop, and optimize data pipelines and architectures to support our composable CDP product.
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  <li>
   Implement and maintain ETL processes using dbt.
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  <li>
   Work with large datasets and develop scalable data models on Snowflake.
  </li>
  <li>
   Utilize Databricks for big data processing and machine learning workflows.
  </li>
  <li>
   Manage and optimize cloud infrastructure on AWS and GCP to ensure high performance and availability.
  </li>
  <li>
   Collaborate with cross-functional teams to understand data requirements and deliver solutions.
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   Ensure data quality, governance, and compliance across all data pipelines.
  </li>
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   Implement best practices for data management, including data security and privacy.
  </li>
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   Lead and mentor junior data engineers, fostering a culture of continuous learning and improvement.
  </li>
  <li>
   Actively participate in the product development process as part of the core team.
  </li>
  <li>
   Publish product updates on Snowflake and Databricks marketplace.
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   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Database and Data Warehousing: Advanced experience with Snowflake, Databricks, and other data warehousing solutions.
  </li>
  <li>
   Data Transformation and ETL: Proficiency in DBT and experience in building and maintaining ETL pipelines.
  </li>
  <li>
   Cloud Platforms: Extensive experience with AWS and GCP,
  </li>
  <li>
   Programming Languages:
  </li>
  <li>
   Strong proficiency in Python programming language.
  </li>
  <li>
   Experience designing and implementing scalable and efficient data pipelines using Python and relevant libraries (such as Pandas, NumPy, SQLAlchemy, etc.).
  </li>
  <li>
   Solid understanding of ETL principles, data modeling, and schema design.
  </li>
  <li>
   Big Data Technologies: Experience with Apache Spark, Kafka, and other big data technologies.
  </li>
  <li>
   Data Integration and Automation: Familiarity with data integration and automation technologies (such as Airbyte, Apache Airflow, Luigi, etc.).
  </li>
  <li>
   DevOps and CI/CD: Familiarity with DevOps practices and tools like Jenkins, Docker, and Kubernetes.
  </li>
  <li>
   Data Governance: Knowledge of Data Governance frameworks and practices, including data security and privacy regulations.
  </li>
  <li>
   Experience in Startups: Proven experience working with data startups and being part of the product development team.
  </li>
  <li>
   Analytical Skills: Strong analytical and problem-solving skills, with the ability to troubleshoot data-related issues.
  </li>
  <li>
   Communication and Collaboration: Excellent communication and collaboration skills.
  </li>
  <li>
   Attention to Detail: Attention to detail and a strong focus on data quality and integrity.
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Mindsets:
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  <br/>
 </strong>
 <ul>
  <li>
   Strong foundation in software engineering best practices, including design patterns and modular architecture.
  </li>
  <li>
   Excellent analytical and problem-solving skills, with the ability to work independently and within a team.
  </li>
  <li>
   Strong work ethic, supported by solid time-management skills, and a professional, team-oriented attitude.
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   Commitment to high-quality software development, with a focus on testing and code quality.
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  <li>
   Fast learner, enthusiastic about tackling new challenges and technologies.
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  </li>
 </ul>
 <strong>
  Projects:
  <br/>
  <br/>
 </strong>
 Number of projects you have worked on. Please choose the number of projects you have worked on in each language. Please be completely honest and transparent. We might ask for proof later on.
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 0 1-3 4-7 8+
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 <ul>
  <li>
   DBT
  </li>
  <li>
   Python
  </li>
  <li>
   Pandas/NumPy/Scipy
  </li>
  <li>
   CI/CD pipelines
  </li>
  <li>
   AWS
  </li>
  <li>
   GCP
  </li>
  <li>
   LLM framework
  </li>
  <li>
   Product Development
  </li>
  <li>
   Snowflake
  </li>
  <li>
   Databricks
  </li>
  <li>
   PostgreSQL
  </li>
  <li>
   Apache Spark
  </li>
  <li>
   Kafka
  </li>
  <li>
   Snowflake Marketplace
  </li>
  <li>
   Databricks Marketplace
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   <br/>
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  </li>
 </ul>
 <strong>
  How to apply for this opportunity?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Register or login on our portal &amp; fill out the application form.
  </li>
  <li>
   Clear the given Video Screening (30 min) and Click on 'Apply' to get shortlisted
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  <li>
   Once it's all done, your profile will be shared with the client for the Interview round.
  </li>
  <li>
   When selected, just meet the client and get your exciting career started!
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About our Client - icustomer.ai:
  <br/>
  <br/>
 </strong>
 iCustomer is decision intelligence company.
 <br/>
 <br/>
 Our offerings include:
 <br/>
 <br/>
 Virtual customer assistants powered by advanced natural language processing to handle customer inquiries and support across multiple channels like chat, email, voice etc.
 <br/>
 <br/>
 AI-driven knowledge management tools to curate and serve relevant information to customers and support agents
 <br/>
 <br/>
 Analytical insights and reporting dashboards to measure and optimize customer service performance.
 <br/>
 <br/>
 We're an early-stage startup led by a rockstar team of serial entrepreneurs, dedicated to enhancing data trust. Our mission is to empower businesses to make better, well-informed decisions by providing them with reliable, accurate data insights
 <br/>
 <br/>
 <strong>
  We are in Nvidia Accelerator, Also Microsoft and Google startup accelerator. Besides won the MIT ILP Innovation company cohort for 2024.
  <br/>
  <br/>
 </strong>
 <strong>
  Funding:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Self-funded: [Yes/No] - Venture Backed
  </li>
  <li>
   If funded: Yes
  </li>
  <li>
   Funding Amount: [Amount] - $1m
  </li>
  <li>
   Series: [Series name (e.g., Series A, Seed)] - Pre-Seed
  </li>
  <li>
   Last Funding Date: [Month Year] - April 2024
  </li>
  <li>
   Investors Info: [List of investors or a short description, e.g., "Backed by prominent venture capitalists"] - Founders United, Cava Capital, Jonathan Seelig (Akamai Co-founder), others Angels in AI, Data ecosystem.
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Co-Founder Information:
 </strong>
 Briefly introduce your co-founders, including their names, backgrounds, and areas of expertise.
 <strong>
  Abhi Yadav | CEO | 20+ years of Product, Sales experience |Serial Entrepreneur, AI Leader
 </strong>
 <strong>
  David Slavich| Head of Growth | 15+ years of Engineering, Sales experience| GTM Expert
  <br/>
  <br/>
 </strong>
 <strong>
  Jiten Kimar |Head of Technology| 15+ years of Engineering, Data/ML experience | Engineering leaduaterser
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  <br/>
 </strong>
 Offices:
 <strong>
  San Francisco, CA and Cambridge, MA, USA.
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  <br/>
 </strong>
 <strong>
  About Uplers:
  <br/>
  <br/>
 </strong>
 Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.
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 (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
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 So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
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