
Senior Data Engineering Lead
1 day ago
This is a senior-level position within our data engineering team, where you will be responsible for designing and developing large-scale data projects.
As a member of this team, you will apply your expertise to all aspects of the data engineering lifecycle, from design to delivery. You will work closely with stakeholders to ensure that your solutions meet business needs.
We are looking for someone with strong technical skills, including software architecture, design patterns, and modern software development languages and frameworks. Experience with big data technologies, such as Kafka and Spark, is also essential.
In addition to technical expertise, we require excellent communication, interpersonal, and leadership skills. You should have a proven track record of building and managing high-performing teams and delivering complex software projects on time and within budget.
Key Responsibilities- Design and develop large-scale data engineering projects
- Lead cross-functional teams to deliver complex software projects
- Develop and implement data integration solutions using APIs and data processing tools
- Maintain and improve existing data infrastructure and systems
- Collaborate with stakeholders to identify business needs and develop solutions
- Bachelor's or master's degree in computer science, software engineering, or a related field
- 7+ years of experience in a senior leadership role within software development or software engineering
- Demonstrated success in delivering complex software projects and products on time and within budget
- Strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks
- Excellent communication, interpersonal, and leadership skills
- Exceptional problem-solving and decision-making abilities
- Proven track record of building and managing high-performing software development teams
- Passion for innovation, technology, and keeping abreast of the latest developments in the software industry
- Proficiency with solutions for processing large volumes of data using data processing tools and big data platforms
- Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience
- Hands-on experience in production rollout and infrastructure configuration
- Demonstrable experience of successfully delivering big data projects using Kafka, Spark
- Exposure working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search
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