Brillio

Snowflake Developer

Chennai, Tamil Nadu
Snowflake SQL Python Data Warehousing Snowpipe SnowSQL PLSQL T-SQL Stored Procedures Azure AWS Airflow
Description

Snowflake Developer - R01558788

Team: AI & Data Engineering : Data Engineering

Location: Chennai, Tamil Nadu, India

Commitment: Employee

Workplace Type: hybrid

Snowflake Developer

Primary Skills

  • DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

  • Snowflake Engineering: Lead Data Engineer

Job requirements

  • Role Overview:
  • We are looking for an experienced Snowflake Developer to design, develop, and optimize data solutions using Snowflake. The ideal candidate will have strong expertise in
  • Snowflake SQL and experience in building scalable data pipelines and integrations across cloud platforms.
  •  
  • Key Responsibilities:
  • •        Design and implement data models, ETL/ELT processes, and data pipelines using Snowflake.
  • •        Develop and optimize Snowflake SQL queries for data transformation and analytics.
  • •        Collaborate with data engineers, analysts, and business teams to deliver highquality data solutions.
  • •        Ensure data security, governance, and compliance across all processes.
  • •        Troubleshoot and optimize performance for Snowflake workloads.
  •  
  • Primary Skills (Must-Have):
  • •        Snowflake (including data warehousing concepts and performance tuning)
  • •        Snowflake SQL for data manipulation and analytics
  •  
  • Good-to-Have Skills:
  • •        Azure Services: ADF, Synapse, Purview, Fabric
  • •        AWS Services: Glue, Lambda, Step Functions
  • •        Workflow Orchestration: Airflow
  •  
  • Qualifications:
  • •        Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • •        Proven experience in Snowflake development and data engineering.
  • •        Strong problem-solving and analytical skills.
  • •        Excellent communication and collaboration abilities.
  •  Promoting Women professionals
Brillio
Brillio

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