Total experience 10+ years.
Excellent knowledge and experience in Big data engineer.
Strong working experience with architecture and development in Spark, Scala, AWS (EMR, EC2, Lambda, Glue, S3 etc), Architecture and Designing, SQL Server/NoSQL.
Hands on experience in Hadoop, Spark, Scala, SQL and Kafka.
Expertise in AWS and Snowflake, procedures in snowflake orchestrated through Airflow hence working knowledge on Python and Airflow.
Experience with building and maintaining a cloud system.
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 client’s business use cases and technical requirements and be able to convert them in to 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 client’s 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.