Snowflake Data Engineer

Medsuite Inc

full-time

Posted on: 8/31/2025

Location: 🇮🇳 India

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Mid-LevelSenior

ApacheAzureCloudETLKafkaMatillionPythonSparkSQL

About the role

Participate in the design, development, and maintenance of a scalable Snowflake data solution serving our enterprise data & analytics team.
Implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake and related technologies.
Optimize Snowflake database performance.
Collaborate with cross-functional teams of data analysts, business analysts, data scientists, and software engineers, to define and implement data solutions.
Ensure data quality, integrity, and governance.
Troubleshoot and resolve data-related issues, ensuring high availability and performance of the data platform.
Conduct independent data analysis and data discovery to understand existing source systems, fact and dimension data models.
Implement an enterprise data warehouse solution in Snowflake and take direction from the Lead Snowflake Data Engineer and Director of Data Engineering.

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
4+ years of experience in-depth data engineering, with at least 1+ minimum year(s) of dedicated experience engineering solutions in an enterprise scale Snowflake environment.
Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques.
Strong experience with cloud platforms (preference to Azure) and their data services.
Experience in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, or Fivetran.
Hands-on experience with scripting languages like Python for data processing.
Snowflake SnowPro certification; preference to the engineering course path.
Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).
Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming.
Familiarity with BI and visualization tools such as PowerBI.
Familiarity working in an agile scum team, including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
Ability to self-manage medium complexity deliverables and document user stories and tasks through Azure Dev Ops.
Personal accountability to committed sprint user stories and tasks.
Strong analytical and problem-solving skills with ability to handle complex data challenges.
Strong oral, written, and interpersonal communication skills.
Ability to read, understand, and apply state/federal laws, regulations, and policies.