Data Analyst/Engineer

Job Details- Data Engineer (India)
Domain :payment
Key skills: ETL , data migration and analysis
Time may be on their timezone
But I need to attend the meeting based on US timing
If a consultant from india, can work on the IST timezone
But I need to attend the meeting on the EST timezone
● Build Modern data architecture from the ground up with streaming and batch processing capabilities using technologies such as Apache Airflow, Apache Flink/Spark, Apache kafka, and Apache Pinot.

● Build a configurable data platform enabling ELT/ETL and Reverse ETL Connectors & Transformations.

● Experience with either Databricks Lakehouse / Snowflake leveraging standards such as Apache Iceberg/Hudi, Apache Trino, or similar technologies would be beneficial.

To be successful in this role, you will need:

● 5+ years of software development experience with at least 3+ years building data products/ data platforms/ Cloud data warehouses.
● Proficiency with Python, SQL & Spark with 3+ years of experience building Data Warehouse models.
● Fluency with storing, transforming, and managing relational, non-relational, and streaming data structures on Cloud storage.
● Experience with Dimensional Modeling (Star Schema) & OLTP
● Experience working on any AWS, Azure, or Google Cloud infrastructure
● DevOps: Docker, Kubernetes, CI/CD, Terraform
● Excellent communication skills, both written and verbally