Senior Data Engineer
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What you'll do
- Operational Excellence: Provide essential operational support, including system troubleshooting and implementing technical fixes.
- Data Quality Assurance: Ensure absolute data integrity and data quality across environments.
- Process Optimization: Continuously improve internal processes through automation, pipeline optimization, and infrastructure re-design.
- Cross-Functional Collaboration: Support and collaborate closely with cross-functional and multidisciplinary teams in a fast-paced environment.
- Data Impact: Leverage data visualization tools and techniques to maximize the business impact and intrinsic value of data.
- Internal Stakeholder Management: Manage technical communication, alignment, and relationships with internal business units, product managers, and engineering teams to ensure data deliverables align with organizational goals.
- Governance & Compliance: Contribute to improving data governance policies and maintaining data compliance standards.
- Continuous Learning: Keep continuously current with the latest technical and industry developments.
What they're looking for
- BS/MS/PhD in IT, Mathematics, Science or Engineering discipline
- Up to 4+ yrs relevant experience beyond first degree
- Experience with one of the following languages: Python, Spark
- Experience with DAG, airflow, terraform
- Familiar with data ETL from a wide variety of data sources
- Experience with SQL and NoSQL databases
- Experience with pipeline and workflow management tools
- Experience with various messaging and stream processing
- Experience with object-oriented/object function scripting languages
- Familiar with containerisation and orchestration tools
- Familiar with one of the following cloud-based services: GCP and its tools and services
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Description
WHAT YOU’LL CHAMPION:
As a Senior Data Engineer, your day-to-day duties will encompass the following areas:
Operational Excellence: Provide essential operational support, including system troubleshooting and implementing technical fixes.
Data Quality Assurance: Ensure absolute data integrity and data quality across environments.��
Process Optimization: Continuously improve internal processes through automation, pipeline optimization, and infrastructure re-design.
Cross-Functional Collaboration: Support and collaborate closely with cross-functional and multidisciplinary teams in a fast-paced environment.
Data Impact: Leverage data visualization tools and techniques to maximize the business impact and intrinsic value of data.
Internal Stakeholder Management: Manage technical communication, alignment, and relationships with internal business units, product managers, and engineering teams to ensure data deliverables align with organizational goals.
Governance & Compliance: Contribute to improving data governance policies and maintaining data compliance standards.
Continuous Learning: Keep continuously current with the latest technical and industry developments.
WHO YOU ARE:
- BS/MS/PhD in IT, Mathematics, Science or Engineering discipline Up to 4+ yrs relevant experience beyond first degree
- Experience with one of the following languages: Python, Spark
- Experience with DAG, airflow, terraform
- Familiar with data ETL from a wide variety of data sources.
- Experience with SQL and NoSQL databases.
- Experience with pipeline and workflow management tools.
- Experience with various messaging and stream processing.
- Experience with object-oriented/object function scripting languages.
- Familiar with containerisation and orchestration tools.
- Familiar with one of the following cloud-based services: GCP and its tools and services.
- Ability to work under pressure and change, and balance among speed, reliability, and interpretability.
- Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.
- Experience with code versioning, code review and documentation.
- Proficient understanding of distributed computing principles.
- Able to select and integrate big data tools and frameworks.
- Familiar or prone to adopt design thinking methods.
- Openness to experimenting with new techniques and new ways of working.
WHAT YOU’LL ENJOY:
- Physical Wellbeing: Key medical and insurance benefits, maternity expenses, flexible work arrangement, and health and fitness amenities.
- Emotional Wellbeing: Paid time off, wellness programmes, and childcare amenities.
- Financial Wellbeing: Resources relating to financial, personal skills and career growth programmes.
- Allstars Specials: Free flights, unlimited discounted flights, and exclusive discounts with partners.
- A unique Allstar culture like no other
OUR HIRING PROCESS:
- Application received
- Candidate screening
- Interview(s) and assessment(s)
- Background check and/or other assessments
- Offer and negotiation
Company
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