Senior Data Engineer for the MDM Data Product Team at Avenga. Responsible for provisioning data from master data customer and product systems.
About the role
- Principal Data Engineer responsible for designing scalable Snowflake architectures and managing data solutions. Collaborating on data engineering projects and optimizing performance in a hybrid environment.
Responsibilities
- Design and implement scalable Snowflake data architectures to support enterprise data warehousing and analytics needs
- Optimize Snowflake performance through advanced tuning, warehousing strategies, and efficient data sharing solutions
- Develop robust data pipelines using Python and DBT, including modeling, testing, macros, and snapshot management
- Implement and enforce security best practices such as RBAC, data masking, and row-level security across cloud data platforms
- Architect and manage AWS-based data solutions leveraging S3, Redshift, Lambda, Glue, EC2, and IAM for secure and reliable data operations
- Orchestrate and monitor complex data workflows using Apache Airflow, including DAG design, operator configuration, and scheduling
- Utilize version control systems such as Git to manage codebase and facilitate collaborative data engineering workflows
- Integrate and process high-volume data using Apache ecosystem tools such as Spark, Kafka, and Hive, with an understanding of Hadoop environments
Requirements
- 12 - 15 years of experience, including significant hands-on expertise in Snowflake data architecture and data engineering
- Advanced hands-on experience with Snowflake, including performance tuning and warehousing strategies
- Expertise in Snowflake security features such as RBAC, data masking, and row-level security
- Proficiency in advanced Python programming for data engineering tasks
- In-depth knowledge of DBT for data modeling, testing, macros, and snapshot management
- Strong experience with AWS services including S3, Redshift, Lambda, Glue, EC2, and IAM
- Extensive experience designing and managing Apache Airflow DAGs and scheduling workflows
- Proficiency in version control using Git for collaborative development
- Hands-on experience with Apache Spark, Kafka, and Hive
- Solid understanding of Hadoop ecosystem
- Expertise in SQL (basic and advanced), including SnowSQL, PLSQL, and T-SQL
- Strong requirement understanding, presentation, and documentation skills; ability to translate business needs into clear, structured functional/technical documents and present them effectively to stakeholders.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
Senior Data Engineer driving impactful data solutions for the climate logistics startup HIVED's core data platform. Collaborating with cross - functional squads to enhance analytics and delivery.
Data Engineer developing and maintaining CRE forecasting infrastructure for Cushman & Wakefield. Collaborates with senior economists and technical teams to ensure high - quality data solutions.
Data Engineer at PwC, engaging with Azure cloud services to enhance data handling and integrity. Responsibilities include pipeline optimizations, documentation, and collaboration with stakeholders.
Data Engineer Manager at PwC focusing on building data infrastructure and solutions. Leading data engineering projects to transform raw data into actionable insights and drive business growth.
Junior Data Engineer at OneMarketData focusing on data quality and integrity in financial datasets. Collaborating with senior analysts and assisting in data management and analysis tasks.
Data Engineer Manager leading robust data solutions for PwC's clients. Transforming raw data into actionable insights and coaching team members.
Senior Data Engineering Analyst developing and implementing data solutions. Collaborating in a diverse environment focused on data processing and analysis for clients' digital transformation.
Principal Software Engineer in Threat Data Platform developing AI - driven tools for threat intelligence automation. Collaborating on robust data pipelines for PANW’s product ecosystem.