Data Engineer
Summary
Gazelle Global is hiring a Data Engineer in the Netherlands to build ETL pipelines and searchable, compliant data archives, ingesting decommissioned application data into Hitachi Content Platform object storage. Core tech includes Python/PowerShell, React for UI work, Ansible, MSSQL/Oracle, Solr, and SIARD.
Key Responsibilities and Accountabilities:
- Based on demand build ETL architecture transferring structured and non-structured data into a Hitachi Content Platform (HCP) Object store as the back end for archiving
- Build bespoke archives of data to satisfy point business solutions such as regulation and compliance
- Build a generic framework to ingest decommissioned application data into searchable archives such that applications may present their data from e.g. a database in a pre-determined format to be ingested in a searchable form
- Deliver a standard interface for searching such archives securely
- Anticipate demand and innovate existing solutions
- Code, test, document, and maintain standardised, automated data pipelines
- Help design and build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources
- Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Responsible for testing, documentation and handover to the customer.
- Delivery to meet aggressive timescales.
- Communication of progress and risk to the team
Business Knowledge/ Technical Skills:
- Experience building and optimizing big data data pipelines, architectures and data sets.
- Strong analytic skills related to working with both structured and non-structured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, combining, processing and extracting value from large disconnected datasets.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Knowledge of SIARD (Software Independent Archiving of Relational Databases)
- We are looking for a candidate with experience or a strong aptitude in a Data Engineering role, and ideally have experience using the following software/tools:
Must have
- In-depth experience of developing Python or PowerShell scripts across Windows and Linux platforms
- Experience of UI development, ideally with React
- Experience with creating playbooks in Ansible Automation Platform
- Working knowledge and experience working with MSSQL and Oracle databases
- Knowledge of Hitachi Content Platform
- Knowledge of Solr
Personal Attributes:
- Ability to influence effectively at different organizational levels;
- Courage and determination to challenge current practices;
- Strong analytical and conceptual skills;
- Clear written and verbal communication skills in English.
- Ability to deal with people, across a complex organisation with different cultures and geographies
- Demonstrates professional acumen, integrity, discretion, credibility and trustworthiness
- Self-motivated, with the ability to work effectively under pressure and results driven
- Ability to respond swiftly to changing demands of the business
- Strong interpersonal and client relationship/influencing skills