
Enterprise Data Integration Specialist
7 days ago
The successful candidate will play a pivotal role in delivering and supporting data integrations from internal and external sources into the data warehouse technical stack, ensuring accurate data delivery to systems. This includes building new data integrations (ETL components) and making changes to existing software.
Key responsibilities include understanding business and data requirements, defining solution approaches, designing, and implementing ETL components. The ideal candidate will also possess a working knowledge of various business process and system modelling tools, including Data Flow Diagrams, Process Models, ER diagrams, Dimensional Data Models, and Use Case Scenarios.
- Develop Matillion ETL scripts and ETL orchestrations as required.
- Ensure the team follows best practices of ETL development.
- Leverage monitoring tools to track status of ETL pipelines for performance and completion.
- Develop and write complex SQL queries and stored procedures to extract and insert data into and from the data warehouse.
- Engage with Business Analyst & Technical Architects to clarify business requirements and offer recommendations for improvements.
- Contribute to defining a scalable data warehouse architecture.
- Coordinate production, development, and sandbox environments.
- Coordinate releases with DevOps teams and prepare required documentation related to release.
- Participate in peer code reviews.
- Provide coaching and guidance to junior team members on technologies and processes.
- Provide support and recommendations for testing and UAT for work being delivered.
- Provide out-of-hours support as requested for incidents.
- Participate in routine maintenance, performance tuning, and support of ETL and the DW environment.
- At least 2 years of IT experience in working with ETL in an enterprise environment.
- Knowledge in ETL Design methodologies, including best practices, performance tuning, architecture, monitoring, and alerting.
- Knowledge of at least one ETL tool (SSIS, Informatica, Matillion, Talend, etc.).
- Experience with relational and dimensional data modelling and ability to represent data using standard modelling techniques.
- Proficient with SQL and stored procedures.
- Experience in working with at least one of these warehouse technologies such as SQL, Snowflake, AWS Redshift.
- Knowledge of processes when working on pre-release environments, moving changes between environments.
- Ability to deliver work to schedule (self-manage workload and priorities).
- Ability to work in a cross-functional team environment.
- Passionate about complex data structures and problem-solving.
- Ability to pick up new data tools and concepts quickly.
- Excellent written and verbal English communication skills.
- Amenable to work remotely.
- Amenable to work on EMEA Shift (4PM-1AM PHT).
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