Big Data Architect
4 weeks ago
As a Big Data Engineer at SysMind Tech, you will be responsible for designing and developing scalable data processing systems, working closely with our SRE team to ensure high availability and performance. You will also be responsible for developing and maintaining data pipelines, working with our data warehousing team to ensure data accuracy and quality. Additionally, you will be responsible for providing post-implementation and ongoing production support, working closely with our development teams to ensure smooth transition throughout the development life-cycle.
Key Responsibilities:
Design and develop scalable data processing systems using Map-Reduce, Hive, Spark, and other big data technologies.
Develop and maintain data pipelines, working with our data warehousing team to ensure data accuracy and quality.
Work closely with our SRE team to ensure high availability and performance of our data processing systems.
Provide post-implementation and ongoing production support, working closely with our development teams to ensure smooth transition throughout the development life-cycle.
Requirements:
Bachelor's degree in engineering or computer science or equivalent OR Master's in Computer Applications or equivalent.
5+ years of software development experience and leading teams of engineers and scrum teams.
3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark).
Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data.
Experience in UNIX shell scripting.
Preferred Qualifications:
Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions.
2+ years of experience in designing and building solutions using Kafka streams or queues.
Experience with GitHub and leveraging CI/CD pipelines.
Experience with NoSQL i.e., HBase, Couchbase, MongoDB
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