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Senior Engineer, Python Data Engineer

Senior Engineer, Python Data Engineer

ConfidentialPune
21 days ago
Job description

Job description

  • Total experience 3+years.
  • Hands on experience as a Snowflake SQL Developer.
  • Strong hands-on expertise in SQL programming and Snowflake development.
  • Experience working with structured and semi-structured data (JSON, Parquet, Avro) in Snowflake.
  • Knowledge of Snowflake features like Streams, Tasks, Snowpipe, Time Travel, and Cloning.
  • Background in data modeling and warehouse design (Star / Snowflake schema).
  • Strong analytical skills and attention to detail.
  • Experience with pharmaceutical data (e.g., clinical trials, sales, patient data, regulatory, RWE) is preferred.
  • Familiarity with data governance, compliance (HIPAA, GDPR, CFR Part 11), and security standards.
  • Hands-on experience with ETL / ELT tools (dbt, Matillion, Informatica, Talend, Fivetran).
  • Cloud platform experience (AWS, Azure, GCP) and integration techniques.
  • Certifications in Snowflake or cloud platforms are a plus.
  • Familiarity with scripting languages (Python, Shell) and BI tools (Tableau, Power BI, Looker).
  • Excellent communication and collaboration skills.

RESPONSIBILITIES :

  • Design, develop, and maintain performant SQL scripts, stored procedures, and queries in Snowflake.
  • Work closely with business analysts and domain experts to translate pharmaceutical data requirements into scalable solutions.
  • Build and optimize ELT pipelines using Snowflake features and external ETL tools.
  • Create and maintain data models and data marts to support analytics and reporting.
  • Collaborate with cross-functional teams to troubleshoot issues and improve system efficiency.
  • Implement data security, governance, and compliance protocols based on industry regulations.
  • Tune performance for complex queries and large data sets to ensure optimal utilization.
  • Develop reusable components and utilities for accelerated development.
  • Support production rollouts, troubleshoot incidents, and drive resolution.
  • Participate in knowledge-sharing initiatives such as white papers, technical discussions, and learning sessions.
  • Skills Required

    Etl Tools, Power Bi, Tableau, Python, Sql

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