Data Engineer
- (Migration & Profiling)

Location:
Remote BGV: Basic Description
• 5-7 yrs of IT experience
• Positive understanding of analytics tools for effective analysis of data
• Should be able to lead teams
• Should have been part of the 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 with any DW tools like BQ, Redshift, Synapse, or Snowflake
• 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 AWS, GCP and Azure.
• Experience with workflow management using tools like Apache Airflow. Role
• Roles & 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 the GCP cloud using GCP data stores such as BigQuery
• Should be able to handle the deployment process
• Optimizing data pipelines for performance and cost for large-scale data lakes.
• Writing complex,



highly optimized queries across large data sets and creating data processing layers.
• Closely interact with Data Engineers to identify the 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:
• 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
• Role
• 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 the GCP cloud using GCP data stores such as BigQuery
• Should be able to handle the deployment process
• Optimizing data pipelines for performance and cost for large-scale data lakes.
• Writing complex, highly optimized queries across large data sets and creating data processing layers.
• Closely interact with Data Engineers to identify the 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.

📌 Data Engineer (Mumbai)
🏢 Qloron
📍 Mumbai