Job Description

Senior Spark Developer (Python, AWS, SQL)

Must have

8+ years of experience in data engineering or backend development.
Hands-on experience with Apache Spark (PySpark) in large-scale data environments.
Strong proficiency in Python programming.
Expertise in SQL (including advanced queries, performance tuning, and optimization).
Experience working with AWS services such as S3, Glue, EMR, Lambda, Redshift, or Kinesis.
Understanding of data warehousing concepts and ETL best practices.
Strong problem-solving skills and ability to work in an agile, collaborative environment.
Experience with Databricks or similar Spark-based platforms.
Knowledge of streaming frameworks (Kafka, Flink).
Familiarity with CI/CD pipelines, Docker, Kubernetes, Terraform.
Exposure to data modeling (star schema, snowflake, data vault).
Experience in financial services/capital markets.

Job Tags

Full time, Part time, Internship, Seasonal work,

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