Snowflake Data Engineering Specialist

Eaton

3.9

(37)

Pune, India

Why you should apply for a job to Eaton:

  • 4.2/5 in supportive management
  • 73% say women are treated fairly and equally to men
  • 78% would recommend this company to other women
  • 71% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible work options to help balance work/life demands
  • Strong community involvement with a donation matching program
  • Competitive compensation packages
  • #28005Pune

    Position summary

    platforms in accordance with group's best practices.

    • Analyzing, designing, and implementing data warehouses, data lakes, data models and data pipelines
    • Building the code and logic required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL or programming languages, working with big data
    • Building analytics solutions that provide valuable insights for clients and end users
    • Working in an agile project team which has specific goals and deliverables
    • Optimize Snowflake performance by tuning SQL queries, optimizing data loading processes, and implementing best practices for data modelling and schema design.
    • Implement ETL/ELT into Snowflake using tools such as Snowflake's native functionalities, Snowpipe
    • Implement data governance and security policies within Snowflake, including role-based access control, data encryption, and data masking techniques.
    • Troubleshoot and resolve issues related to data quality, data consistency, and data integrity within Snowflake data warehouses.
    • Design, develop, and maintain scalable data pipelines and ETL processes to support data analytics and machine learning initiatives.
    • Utilize workflow management platforms to orchestrate and automate data engineering pipelines.
    • Implement data models and schemas to support data storage, retrieval, and analysis.
    • Work closely with data scientists and analysts to understand data requirements and provide data engineering solutions.
    • Collaborate with software engineers, product owners and scrum team to integrate data pipelines with existing systems and applications.
    • Implement data quality monitoring and validation processes to ensure data integrity and accuracy.
    • Optimize data infrastructure and performance to meet scalability and performance requirements.

    Qualifications:

    • BE in Computer Science, Electrical, Electronics/ Any other equivalent Degree

    • 10+ years of experience as snowflake expert

    Skills:

    PySpark, Spark SQL, Serverless SQL pool, Dedicated SQL pools, Data warehousing, Data modeling
    Team player, collaboration, good communication skills

    Why you should apply for a job to Eaton:

  • 4.2/5 in supportive management
  • 73% say women are treated fairly and equally to men
  • 78% would recommend this company to other women
  • 71% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible work options to help balance work/life demands
  • Strong community involvement with a donation matching program
  • Competitive compensation packages