Data Engineer - Snowflake, ETL​/ELT, SQL Cloud Migration

Design, develop, and maintain scalable and reliable data engineering pipelines to support analytics and business intelligence needs

• Architect, design, and implement solutions that meet stakeholder's needs

• Architect, implement, and optimize Snowflake data warehouse solutions, including data modeling, performance tuning, and cost optimization

• Lead and support data migration initiatives, including migration from on-premises or legacy data platforms to Snowflake or other cloud-based solutions

• Develop and manage ELT/ETL processes using modern data integration tools and frameworks

• Participate actively in requirements gathering, data modeling, and design sessions

• Prepare high-level and detailed technical specifications for the projects in accordance with security and architecture documentation objectives

• Develop detailed plans and accurate estimates for the completion of the build, system testing, and implementation phases of a project

• Collaborate with data architects, analytics teams, and business stakeholders to translate requirements into technical solutions

• Running and optimizing SQL queries on RDBMS like MS SQL server, MySQL/MariaDB

• Ensure data quality, security, governance, and compliance throughout the data lifecycle

• Develop, code, document, and execute unit tests, systems, integration and acceptance tests, and testing tools for functions of high complexity

• Troubleshoot and resolve performance, data integrity, and pipeline reliability issues

• Document architecture, data flows, and operational procedures

What do you need to succeed?

Must-have

• Strong hands-on experience in Data Engineering, including data pipeline development and large-scale data processing

• Deep expertise in Snowflake architecture, including Virtual warehouses, Micro-partitioning, Clustering and performance optimization, Security and access control

• Proven experience with data migration projects, including assessment, planning, execution, and validation

• Minimum 5+ years of experience in software engineering or analytics in creating enterprise data architectures, distributed and microservice software architectures and design patterns

• Strong SQL skills and experience with data modeling (dimensional and/or data vault)

• Core SQL database concepts, including creating DDL, DML scripts, normalization, running, and optimizing SQL queries on RDBMS

• Experience working with cloud platforms (AWS, Azure, or GCP)

• 2+ years of application development experience in Hadoop, No

SQL databases like Mongo

DB, Cassandra, or HBase

• Familiarity with orchestration and data integration tools (e.g., Airflow, dbt, Informatica, Fivetran, or similar)

• Prior experience with Liquibase, Git code repos like Git Hub

• Bachelor’s degree in information technology, Computer Science

• Strong problem-solving skills and ability to work independently in a fast-paced environment