Lead Data Solutions Architect

5 hours ago

Delhi NCR Delhi, India beBeeDataEngineer Full time US$ 80,000 - US$ 1,20,000
Job Overview

We are seeking a skilled Data Engineer to join our team and drive data engineering initiatives using Dataiku for data preparation, analysis, visualization, and deploying data solutions.

  • Main Responsibilities:
    • Drive data engineering initiatives using Dataiku for data preparation, analysis, visualization, and deploying data solutions.
    • Design, develop, and optimize scalable data pipelines supporting BI and advanced analytics projects, including ETL/ELT automation from diverse sources.
    • Apply data modeling techniques to design efficient, scalable database structures ensuring data integrity and performance.
    • Implement and manage ETL/ELT processes and tools to maintain efficient, reliable data flows with high data quality.
    • Explore and integrate Generative AI solutions using LLM Mesh to build innovative AI-powered features.
    • Utilize Python and SQL for data manipulation, analysis, automation, and custom data solution development.
    • Deploy and manage scalable data solutions on cloud platforms like AWS or Azure for optimal performance and cost-efficiency.
    • Ensure seamless data integration with high data quality, consistency, and accessibility while applying data governance best practices.
    • Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver impactful solutions; mentor junior team members when needed.
    • Continuously monitor and optimize the performance of data pipelines and systems.
Required Skills & Qualifications

To be successful in this role, you will need:

  • Demonstrable expertise in Dataiku for end-to-end data pipeline and application development.
  • Strong knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) for scalable database design.
  • Extensive experience with ETL/ELT processes and tools such as Dataiku's built-in capabilities, Apache Airflow, Talend, or SSIS.
  • Familiarity with LLM Mesh or similar frameworks for Generative AI integration.
  • Proficiency in Python programming and SQL querying for data manipulation and database interaction.
  • Hands-on experience with cloud platforms (AWS or Azure) for deploying scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse).
  • Basic understanding of Generative AI concepts and their applications in data engineering.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and interpersonal skills for effective collaboration across teams.
Bonus Skills (Nice to Have)

The following skills are not required but would be beneficial:

  • Experience with big data technologies such as Spark, Hadoop, or Snowflake.
  • Knowledge of data governance and data security best practices.
  • Familiarity with MLOps principles and tools.
  • Contributions to open-source projects related to data engineering or AI.
Education

A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative discipline is required.

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