Senior Spark/Scala Engineer(Fulltime Role)
What’s in it for you
- Work on large-scale batch & real-time data pipelines
- Hands-on with Spark, Scala, Snowflake, AWS
- Exposure to modern data engineering tools & best practices
- Opportunity to lead, mentor, and influence architecture
- Build high-performance, production-grade data platforms
Core Responsibilities
- Develop & optimize batch and streaming pipelines (Spark + Scala)
- Process large datasets using Spark SQL, DataFrames, Datasets
- Build real-time streaming solutions (Structured Streaming)
- Integrate with Snowflake & AWS S3
- Perform Spark performance tuning
- Write clean, testable Scala code
- Handle monitoring, debugging, and data quality issues
- Lead technical discussions & mentor juniors
Key Skills Required
Scala
- Strong in functional programming & core concepts
- Experience building production-grade applications
Apache Spark
- Expertise in DataFrames, SQL, Structured Streaming
- Knowledge of Spark internals & performance tuning
- Experience with Parquet, Avro, ORC, Delta Lake
Snowflake
- Schema design, streams, tasks, stages
- Basic knowledge of Snowpark
AWS
- Familiar with S3, EMR/Glue, IAM, VPC
- Monitoring via CloudWatch
General
- Strong SQL & Git
- Knowledge of Docker & CI/CD practices
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Senior Spark/Scala Engineer(Fulltime)1Snowflake,SQL,scala,Spark,AWSN/AFull TImeUnited States