Note: There will 3-4 client rounds (Client details will be disclosed to the candidates at the 1st level of interview, from us ).
Duties and responsibilities:
- Use big data technologies to develop distributed, fault-tolerant scalable data solutions.
- Participate in discussions with customers, along with the product team, to understand their data requirements.
- Translate the business requirements in to corresponding data requirements.
- Collect and process data at scale from a variety of sources for different project needs.
- Participate in identifying, evaluating, selecting, and integrating big data frameworks and tools required for the big data platform.
- Design, develop, and maintain data pipelines , data platforms using selected frameworks and tools based on requirements from different projects.
- Convert structured and unstructured data into the form that is suitable for processing. Provide support to different teams in analysing data.
- Design, develop and maintain data API’s.
- Integrate data from variety of data sources using federation / virtualization techniques.
- Develop solutions independently based on high-level design and architecture with minimal supervision.
- Monitor the performance of the data platform on a regular basis and tune the infrastructure and platform components accordingly to ensure the best performance.
- Maintain a high level of expertise in data technologies and stay current on latest data technologies.
Qualifications
- Overall 12+ year experience in software design and development.
- 5+ years of experience in data engineering.
- Prior experience with implementing big data platform components that are scalable, high performing, and lower in operations cost.
- Proven experience with integration of data from multiple heterogeneous and distributed data sources.
- Experience with processing large amounts of data (structured and unstructured), building data models, data cleaning, data visualization and reporting.
- Experience in production support and troubleshooting.
- Hands-on knowledge of containers, API designing and implementing is a must.
- Experience with NoSQL databases, Graph databases, relational databases, time series databases.
- Excellent knowledge of various ETL techniques and frameworks, various messaging systems, stream-processing systems, Big data ML toolkits, big data querying tools
- Experience in Python, Go, Perl, JavaScript, Kafka, Spark, Kubernetes.
- Good knowledge of Agile software development methodology.
- Excellent interpersonal, communication (verbal and written) skills.
- Proven experience in managing and working with teams based in multiple geographies.
- Bachelor’s Degree or higher in Computer Science or a related field.