Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent.
6+ years of relevant experience with detailed knowledge of data technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
2+ years of experience with Cloud based DW such as Redshift, Snowflake etc.
1+ years’ experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake)
1+ years’ experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
Leverage monitoring tools/frameworks, like Splunk, Grafana, CloudWatch etc.
Experience with container management frameworks such as Docker, Kubernetes, ECR etc.
Experience working on CI/CD processes such as Jenkins, Codeway etc. and source control tools such as GitHub, etc.
Strong experience in coding languages like Python, Scala & Java
Knowledge and Skills:
Fluent in relational based systems and writing complex SQL.
Fluent in complex, distributed and massively parallel systems.
Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
Strong understanding of database technologies and management systems.
Strong understanding of data structures and algorithms
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Strong analytical and problem-solving skills.
Nice to Have
Experience with visualization tools such as PowerBI, Tableau etc.
Experience with transformation tools such as dbt.
Have experience in building realtime streaming data pipelines
Experience in pub/sub streaming technologies like Kafka, Kinesis, Spark Streaming etc.