We are looking for a Senior Specialist - Data Engineering with expert-level expertise in Snowflake and advanced SQL. The role focuses on designing and implementing ETL/ELT pipelines, developing robust data models, and supporting analytical workloads through scalable data engineering solutions.
Job Description
The role involves designing and implementing end-to-end ETL/ELT data pipelines to support analytical data requirements. The candidate will work extensively with Snowflake and advanced SQL to develop and manage data engineering solutions.
Strong data modeling expertise is required to structure data effectively for analytical workloads. The position also requires a solid understanding of ETL concepts and experience working with PostgreSQL.
Key Responsibilities
Design and implement ETL/ELT data pipelines for analytical workloads.
Develop and optimize data solutions using Snowflake.
Write and optimize advanced SQL queries for data processing and analysis.
Design effective dimensional data models for analytical requirements.
Apply data engineering principles to build reliable data pipelines.
Work with PostgreSQL for data storage and processing requirements.
Support scalable and productive data solutions for analytical workloads.
Required Skills
Snowflake
Advanced SQL
ETL/ELT pipeline design and implementation
Dimensional Data Modeling
ETL Concepts
PostgreSQL
Data engineering
Data modeling for analytical workloads
Mandatory Skills
Dimensional Data Modeling
ETL Concepts
PostgreSQL
Snowflake
Candidate Profile
The ideal candidate will have 7–11 years of experience in data engineering, with expert-level proficiency in Snowflake and advanced SQL. Strong experience in ETL/ELT pipeline development and dimensional data modeling is essential for this role.
Benefits Package
Competitive salary and benefits package
Opportunities for professional growth and development
A collaborative and inclusive work envi