Data Specialist

We are looking for talented Snowflake Data Engineers who are passionate about building modern cloud data platforms and scalable data pipelines. The ideal candidate should have hands-on experience with Snowflake, Python, Airflow, DBT, and AWS and be eager to work on enterprise-scale data transformation initiatives.

- Develop and maintain scalable ETL/ELT pipelines using Snowflake and modern data engineering technologies.

- Design and implement data models, transformation frameworks, and data integration solutions.

- Build and optimize data workflows using Airflow and DBT.

- Develop Python-based automation and data processing solutions.

- Work with AWS services for data ingestion, storage, and processing.

- Optimize Snowflake performance, query execution, and warehouse utilization.

- Collaborate with business, analytics, and engineering teams to deliver high-quality data solutions.

- Ensure data quality, governance, security, and operational excellence across data platforms.

- Troubleshoot production issues and provide ongoing support for data pipelines.

- ETL Fundamentals, SQL, BigQuery, Dataproc, SQL (Basic + Advanced), Python, Data Catalog, Data Warehousing, Composer, Dataflow, Cloud Trace, Cloud Logging, Cloud Storage, Datafusion, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization - GCP Data Engineering Basic: Senior Lead Data Engineer

Job requirements Hiring: Snowflake Data Engineer

Snowflake Development & Data Warehousing Python Programming Apache Airflow Workflow Orchestration DBT (Data Build Tool)

AWS Cloud Services (S3, Lambda, Glue, EC2, etc.) Strong SQL and Data Modeling skills ETL/ELT Pipeline Development Understanding of Data Warehousing Concepts

Exposure to Databricks, Spark, or other cloud data technologies Knowledge of data governance and data quality frameworks Snowflake or AWS Certification