Job Responsibilities:
- Collaborate with other teams to design and develop and deploy data tools that support both operations and product use cases
- Perform analysis of large data sets using components in AWS Cloud
- Own product features from the development, testing through to production deployment
- Evaluate big data technologies and prototype solutions to improve our data processing architecture
- Automate different pipelines
Required Qualification:
- BS degree in computer science, computer engineering or
- equivalent
- 4-7 years of experience delivering enterprise software solutions
- Proficient with Java, Spark, Scala, Python, AWS Cloud technologies
- 2+ years of experience across multiple Spark technologies such as MapReduce, Hive, Kafka, Scala
- Flair for data, schema, data model, how to bring efficiency in big
- data related life cycle.
- Experience with Agile Development methodologies.
- Experience with data ingestion and transformation
- Have understanding for secure application development
- methodologies.
- Experience in with Airflow and Python will be preferred.
- Understanding of automated QA needs related to Big data
- technology.
- Strong object-oriented design and analysis skills
- Excellent written and verbal communication skills
- Responsibilities
- Utilize your software engineering skills including Spark, Python,
- Scala to Analyze disparate, complex systems and collaboratively
- design new products and services
- Integrate current data sources and tools
- Implement scalable and reliable distributed data replication
- strategies
Preferred Qualification:
- Knowledge and hands-on experience of using AI technologies for development, Testing and automation.
Knowledge of Cloud Technologies is a must such as AWS and its services.
📌 Big Data Engineer (Bengaluru)
🏢 NR Consulting
📍 Bengaluru
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