Senior Data Engineer

Summary

Build and maintained cutting-edge large scale full-cycle data solutions and end-to-end ETL pipelines ensuring smooth transfer of data for In-App Purchases behavior, Product Details, Featured Apps using PySpark / Python, Databricks, Snowflake, AWS MWAA / Airflow, AWS Kinesis, S3.
Conceptualized & built unified data warehouse for large-scale analytical and reporting workloads on Snowflake.
Python, PySpark, Scala, SQL, Java

Expectations

Looking for a job that matches my skills and expertise so I could use my skills to build next-generation data pipeline solutions utilizing distributed processing for large-scale data requirements. Would love to discuss more over phone.

Employment Preferences
Expected Base Salary

**5,000 USD

Academic Degree
Experience

Total Professional Experience

8 years

Startup Experience

8 years

Big-Tech Companies

no experience

Enterprise Experience

5 years
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