Snowflake Data Engineer

Ventra Health

2 - 6 years

4 - 7 Lacs

chennai

Posted:None| Platform:

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Skills Required

cd continuous integration snowflake data services python performance tuning data ansi sql talend ci/cd microsoft azure data warehousing power bi cloud platforms azure data factory data architecture elt data engineering cloud data modeling spark devops infrastructure kafka

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview

We are seeking a Snowflake Data Engineer to join our Data & Analytics team. This role involves designing, implementing, and optimizing Snowflake-based data solutions. The ideal candidate will have proven, hands-on data engineering expertise in Snowflake, cloud data platforms, ETL/ELT processes, and Medallion data architecture best practices. The data engineer role has a day-to-day focus on implementation, performance optimization and scalability. This is a tactical role requiring independent data analysis and data discovery to understand our existing source systems, fact and dimension data models, and implement an enterprise data warehouse solution in Snowflake. This role will take direction from the Lead Snowflake Data Engineer and Director of Data Engineering for their work while bringing their own domain expertise and experience.

Responsibilities

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.

Qualifications

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.

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