REQUIREMENTS:
- Total experience 5 years.
- Excellent knowledge and experience in Big data engineer.
- Strong hands-on experience with Apache Spark and Python.
- Proficiency in GCP Pub/Sub Hadoop/MapReduce Hive and data transformation tools.
- Experience with relational databases (e.g. PostgreSQL) and NoSQL databases (e.g. MongoDB Kafka).
- Solid understanding of SQL-like query languages: SQL HQL MQL etc.
- Hands-on experience in building data pipelines for ETL/ELT processes.
- Proficient with CI/CD tools and version control systems like Git.
- Familiarity with Agile methodologies (Scrum Kanban).
- Solid understanding of distributed computing parallel processing and big data best practices
- Strong problem-solving and debugging skills
- Experience working in Agile/Scrum environments
- Familiarity with data modeling data warehousing and building distributed systems.
- Expertise in Spanner for high-availability scalable database solutions.
- Knowledge of data governance and security practices in cloud-based environments.
- Problem-solving mindset with the ability to tackle complex data engineering challenges.
- Strong communication and teamwork skills with the ability to mentor and collaborate effectively.
RESPONSIBILITIES:
- Writing and reviewing great quality code.
- Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture framework and high-level design of the application for the developers.
- Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies patterns and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects.
- Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time