Data Analytics Solutions Architect

2 weeks ago

Palakkad, Kerala, India beBeeAnalytics Full time US$ 1,80,000 - US$ 2,40,000

Job Overview

We are seeking a highly skilled Data Engineer to join our team.

The ideal candidate will have experience in designing, developing, and deploying scalable enterprise data analytics solutions using Azure and Snowflake platforms.

The successful candidate will be responsible for translating prototypes into scalable solutions, working closely with Data Scientists and Data Architects to ensure seamless collaboration.

The key skills required for this role include proficiency in Python, SQL, Spark, cloud platforms (Azure, Snowflake), data tools (DBT, Erwin Data Modeler, Apache Airflow), governance (data masking, metadata management, SOX compliance), and soft skills (communication, problem-solving, stakeholder engagement).

Key Responsibilities:

  • Data Pipeline Design & Development: The candidate will design and build robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
  • Cloud Platform Engineering: The candidate will operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
  • Data Modeling & Architecture: The candidate will apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
  • Data Governance & Security: The candidate will ensure data integrity, privacy, and compliance through governance practices and secure schema design.
  • Collaboration & Agile Delivery: The candidate will work closely with cross-functional teams including product owners, architects, and business stakeholders to translate requirements into technical solutions.

Required Skills:

  • 7+ years of data engineering or design experience
  • 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks
  • 5+ years of experience in data engineering using Snowflake
  • Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance
  • Experience in building and managing streaming and batch inferencing
  • Proficiency in SQL and any one other programming language
  • Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes)
  • Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools
  • Familiarity with security best practices in DevOps and ML Ops
  • Experience in developing and maintaining APIs (e.g.: REST)
  • Agile/Scrum operating experience using Azure DevOps
  • Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others

Professional Requirements:

  • Strong analytical and problem-solving skills and passion for product development
  • Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders
  • Professional attitude and service orientation; team player
  • Ability to translate business needs into potential analytics solutions
  • Strong work ethic: ability to work at an abstract level and gain consensus
  • Ability to build a sense of trust and rapport to create a comfortable and effective workplace

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