Gcp Data Engineer
2 days ago
- 5+ yrs of IT experience
- Good understanding of analytics tools for effective analysis of data
- Should have been part of production deployment team, Production Support team
- Experience with Big Data tools-Hadoop, Spark, Apache Beam, Kafka etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience on any DW tools like BQ, Redshift, Synapse or snowflakes
- Experience in ETL and Data Warehousing.
- Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra etc.
- Experience with cloud platforms like GCP
- Experience with workflow management using tools like Apache Airflow
Role & responsibilities
- Develop high performance and scalable solutions using GCP that extract, transform, and load big data.
- Designing and building production-grade data solutions from ingestion to consumption using Java / Python
- Design and optimize data models on GCP cloud using GCP data stores such as BigQuery
- Should be able to handle deployment process
- Optimizing data pipelines for performance and cost for large scale data lakes.
- Writing complex, highly-optimized queries across large data sets and to create data processing layers.
- Closely interact with Data Engineers to identify right tools to deliver product features by performing POC
- Collaborative team player that interacts with business, BAs and other Data/ML engineers
- Research new use cases for existing data.
Preferred candidate profile
- Need to be Aware of Design Best practices for OLTP and OLAP Systems
- Should be part of team designing the DB and pipeline
- Should have exposure to Load testing methodologies, Debugging pipelines and Delta load handling
- Worked on heterogeneous migration projects
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