Senior Data Engineer

5 - 7 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Role:

Location

Experience:

• 5 to 7 years of hands-on experience in data engineering, demonstrating consistent career progression and technical growth.

• Proven ability to design, develop, and deploy highly scalable and efficient data solutions for complex business needs.

• Extensive experience managing and optimizing complex data integrations across diverse systems, platforms, and cloud environments.

Skills / Knowledge:

  • Advanced proficiency in programming languages such as Python, SQL, and Shell Scripting, with the ability to implement optimized and scalable code solutions.
  • Deep expertise in data platforms like Snowflake and Databricks, including extensive experience working with PySpark and distributed data frames to process large-scale datasets.
  • Advanced knowledge of orchestration tools such as Azure Data Factory, Apache Airflow, and Databricks workflows, including the ability to design and manage complex, multi-step workflows.
  • Significant hands-on experience with tools like DBT for data transformation and replication solutions such as Qlik for efficient data migration and synchronization.
  • Strong understanding of big data systems and frameworks, with practical experience in building and optimizing solutions for high-volume and high-velocity data.
  • Extensive experience with version control tools such as GitHub or Azure DevOps, including implementing CI/CD pipelines for data engineering workflows.
  • Advanced knowledge of serverless computing, including designing and deploying scalable solutions using Azure Functions with Python.
  • Proficiency in API development frameworks such as FastAPI, with the ability to create robust, efficient, and secure data-driven APIs.
  • Comprehensive expertise in designing and implementing ETL/ELT processes with a focus on performance, scalability, and maintainability.
  • Proven experience in data warehouse development, including hands-on expertise with dimensional modeling and schema optimization for analytics.
  • Solid English language communication skills, both written and verbal, for effective collaboration across teams and stakeholders.

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