Chief Data Architecture Specialist

5 days ago

Gurgaon, Haryana, India beBeeDataEngineer Full time
Key Responsibilities:

As a key liaison between Product Owners and technical developers, you will be responsible for translating new requirements into designs, development strategies, and implementation plans. Additionally, you will build and implement a Data Lake by ingesting and integrating commercial data from diverse sources to support both descriptive and predictive analytics.

Furthermore, you will lead a cross-functional team of AWS developers, Snowflake developers, UI developers, and Testers, working with technologies like Snowflake PL/SQL, StreamSets, AWS Glue, Lambda, Airflow, shell scripting, and React on EBS. You will also ensure data integrity and reporting consistency by establishing optimal processes and procedures for teams to follow.

  • Conduct code reviews for Python Lambda and Snowflake stored procedures, optimizing them to adhere to industry best practices.
  • Design and develop solutions that align with both business needs and central technology requirements.
  • Lead estimation efforts, collaborating with architects for scoping and with business teams for prioritization.
Basic Qualifications:
  • Bachelor's degree with 5-7 years of experience leading Data Engineering teams.
  • Over 6 years of expertise in writing advanced SQL and PL/SQL, specifically in Snowflake or Oracle.
  • 5+ years of hands-on experience with various AWS services, particularly Lambda and CloudFormation.
  • Proficient in core Python, including advanced techniques such as slicing and working with dictionaries.
  • Expertise in Snowflake, focusing on query optimization, automation, data governance, security (encryption, access control), compliance (HIPAA, GDPR), and workflow automation (Streams, Tasks, and Materialized Views).
  • Experience in at least three big data projects utilizing Snowflake and Snowpark.
  • Skilled in data warehouse and data mart modeling.
  • Proven ability to design efficient data models that optimize storage and retrieval, with experience securely sourcing external data from multiple sources.
  • Strong background in addressing data scaling and product challenges, designing, building, and launching reliable data pipelines of varying complexity.
  • Proficient in ETL tools such as IICS, StreamSets, Data Factory, etc.
  • Familiar with major platforms like Salesforce, SAP, ServiceNow, Hana, and Zoom.
  • Expertise in release management, with experience using GIT, Jenkins, or other CI/CD tools.
  • Experience in consuming data from REST APIs using Python or Java, with the ability to parse JSON and XML data.
  • Hands-on experience with reporting tools like Tableau, PowerBI, or SSRS.
  • Strong written, verbal, and presentation skills, with the ability to collaborate effectively with team members.
  • Familiar with Jira and other Atlassian tools for agile lifecycle management.
  • Knowledge of quality assurance and documentation best practices in software development.
Preferred Qualifications:
  • AWS Platform Certifications (Developer, Solution Architect)
  • SnowPro Core Certification
  • Knowledge on ML & AI, Snowflake Cortex, Document AI
  • Experience in Airflow, AWS Glue, Streamsets,
  • Expertise in Jupyter notebook
  • Experienced with front-end web development frameworks and hands-on development experience with react JS.
  • Expertise with Agile software development methods and processes

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