Strategic Data Architect

7 days ago

Guntur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description

We are seeking a skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing and building scalable data pipelines that support analytics and reporting needs.

You will work closely with cross-functional teams to translate requirements into technical solutions. Your key responsibilities will include:

  • Designing and building ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
  • Collaborating with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
  • Operationalizing data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.

Key Responsibilities

  • Data Pipeline Design & Development: You will design and build robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
  • Cloud Platform Engineering: You will operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
  • Data Modeling & Architecture: You will apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
  • Data Governance & Security: You will ensure data integrity, privacy, and compliance through governance practices and secure schema design.
Required Skills and Qualifications
  • 7+ years of data engineering or design experience designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
  • 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring.
  • 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 (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA).
  • 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.
Benefits

This role offers the opportunity to work with cutting-edge technologies and collaborate with experienced professionals in the field. If you are passionate about data engineering and want to contribute to a dynamic team, we encourage you to apply.

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