
Highly Skilled Data Engineer Wanted
1 day ago
Data Engineer Role
Job Overview
- A leading telecommunications company is seeking a highly skilled Data Engineer to join their team.
- This role will involve designing, building, and maintaining automated data pipelines across multiple platforms.
- The successful candidate will ensure the integration, storage, and cleansing of data to support the organization's data strategy.
Key Responsibilities
- Design and implement scalable, reusable data pipelines, defining frameworks, and leading data-related projects to support business operations.
- Develop a robust data platform by leading the design, development, and maintenance of a scalable data platform to support various operational data use cases.
- Define and establish governance frameworks and best practices for data pipeline design, development, and deployment, ensuring efficiency and scalability.
- Create architecture, design, and implement efficient data pipelines for ingesting, processing, and transforming data from diverse sources into formats ready for operational use.
- Provide accurate estimates for new initiatives and change requests, facilitating effective project evaluation and budgeting.
- Develop proofs-of-concept, minimum viable products (MVPs), prototypes, and product demos to showcase the feasibility and potential of new data solutions.
- Utilize project management methodologies and tools to plan, execute, and monitor data projects, ensuring timely delivery and alignment with business objectives.
- Stay up-to-date with emerging data technologies, frameworks, and tools, and assess their potential impact on the organization's data strategy and operations.
Requirements
- Strong background in programming languages such as Python, SQL, and Java.
- In-depth knowledge of Data Engineering tools is preferred (Airflow, NiFi, Dataflow, AWS Glue).
- Experience in ETL development and management.
- Experience in Data warehousing solutions (Snowflake, Redshift, BigQuery).
- Experience with Cloud Platforms (AWS and GCP).
- In-depth experience in automated data pipeline design, implementation, and support.
- Experience in Data Processing, Data Tools, Data modeling.
- Familiarity with GitOps Principles.
- Experience in DevSecOps Processes.
- Understanding of data engineering design and development best practices.
- Understanding of data management best practices.
- At least 5 years of hands-on experience as a Data Engineer.
Qualifications
- Problem-Solving Mindset: Analytical, with the ability to take on abstract business challenges, and design practical and scalable solutions.
- Strong Communication Skills: Comfortable in translating technical requirements into clear, concise business objectives.
- Team Leadership: Experienced in guiding cross-functional teams to success in a fast-paced, agile environment.
Benefits
- Maintain efficient, accurate, and safe data storage and flow, and right-size data infrastructure resources based on usage analytics and workload profiling.
- Collaborate with Cloud & Infra Engineers to implement automation and policies to eliminate waste, stop unused resources, increase efficiency.
- Troubleshoot and resolve data-related issues.
About Us
We are an equal opportunities employer and welcome applications from all qualified candidates. Our Diversity, Equity, and Inclusion Policy can be accessed online.
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