Vikash Technologies
https://vikashtechnologies.comAbout
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Jobs at Vikash Technologies
Amazon Web Services (AWS)
PythonPyspark Data Engineer:
- Hands-on expertise in designing, building, and maintaining Apache Spark pipelines in production environments.
- Proven experience building and scaling data ingestion frameworks that integrate data from multiple source systems, with a focus on reliability, reusability, and scalability.
- Deep understanding of Spark architecture (driver/executors, DAG, partitioning, shuffles, caching, cluster resource management) and experience operating pipelines at scale, including data transformations on datasets ~500 GB+.
- Strong understanding of Oracle SQL and HDFS, including handling file formats and applying appropriate data cleansing, normalization, and formatting to produce curated output datasets.
- Ability to write Python, Pyspark, and shell scripts to process, transform, and automate data workflows. The Candidate should be good in writing application programs and automation manual data processing steps using python.
Java
Spring Boot- 5+ years of experience in Java backend development
- Strong proficiency in Core Java (Java 8+)
- Hands-on experience with multithreading, concurrency, and performance tuning
- Strong understanding of data structures and algorithms
- Experience with Spring Boot and REST API development
- Experience in microservices architecture
- Good understanding of SQL/NoSQL databases
- Strong debugging and problem-solving skills
Python- Demonstrated experience building production-grade applications with an emphasis on scalability, maintainability, and performance.
- Strong expertise in concurrency and parallelism, including:
- Multithreading and multiprocessing
- Synchronous and asynchronous programming (e.g., async/await)
- Designing for throughput, latency, and safe shared-state handling
- Proven experience integrating with external systems via application interfaces, including:
- Building and consuming RESTful APIs
- Authentication/authorization patterns (e.g., API keys, OAuth where applicable)
- Reliable integration patterns (timeouts, retries, idempotency, error handling)
- Strong SQL skills, including the ability to write efficient, complex queries (joins, aggregations, window functions) and optimize performance where needed.
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