Data Engineer: Cloud Data Architect

2 weeks ago


Bengaluru, Karnataka, India Spigot Software Full time

Role Overview:

The data engineering role at Spigot Software requires designing and developing scalable technical solutions on the modern data stack (Snowflake, dbt, fivetran, Azure). As a key member of our team, you will be responsible for architecting, building, and managing data flows/pipelines and constructing data models within Snowflake to support downstream processes or analysis purposes.

Key Responsibilities:

  • Design, develop, and maintain efficient data pipelines and analytics solutions using DBT, Snowflake, and related technologies
  • Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
  • Develop high-quality code with unit testing and code documentation
  • Evaluate and ensure accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem-solving
  • Optimize and fine-tune data models, SQL queries, and transformations for performance and scalability
  • Ensure effective transformation and load data from diverse sources into a data warehouse or data lake
  • Integrate FiveTran connectors to streamline data ingestion from various sources into Snowflake
  • Develop custom Python scripts and functions to automate data workflows and enhance system capabilities
  • Provide technical expertise and support to resolve data-related issues and troubleshoot system failures
  • Collaborate with the API development team to integrate data pipelines with external systems and applications
  • Contribute to the development of web-based data visualization solutions and dashboards

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Proven experience of at least 5 years as a data engineer, ETL developer, or similar role, with a focus on DBT and Snowflake
  • Strong proficiency in SQL and database concepts, with hands-on experience in Snowflake data warehouse Subject Matter expert of Data warehouse and Data Lake concepts (Dimensional Modelling, change data capture, slowly changing dimensions etc.)
  • Proficiency in programming languages such as Python for data manipulation, automation, and scripting
  • Knowledgeable in relational databases, nonrelational databases, data pipelines (ELT/ETL), and file stores
  • Knowledgeable in performance tuning and optimization
  • Experience with cloud platforms like Azure and tools like Azure OCR for data extraction and processing
  • Familiarity with data integration tools like FiveTran
  • Knowledge of API development principles and experience integrating data pipelines with external systems
  • Proficient in written, verbal, and presentation communication (English)
  • Ability to work effectively in a fast-paced, collaborative environment and manage multiple priorities

Estimated Salary Range:$140,000 - $180,000 per year



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