AWS-Spark - Module / Technical Lead Openings in Bangalore at Mindtree
Role description :
5 + years of demonstrated hands-on experience in development and support of AWS cloud based big data engineering and analytics projects.
• Primary work experience in AWS Cloud services and Data Engineering platforms and solutions.
• Hands on experience and Knowledge of all the Big Data features and components.
• Should have hands on experience on Storage services: AWS S3, Elastic Storage, RDS, Redshift. Compute & Orchestration Services: EMR, Kinesis, AWS Data pipeline, AWS Glue and Data analytics services.
• In depth experience of handling batch and streaming data using Spark, Kafka, Hadoop, Hive, Hbase and NoSql data.
• Should have hands on experience on implementing end to end CI/CD integration for Cloud based data engineering solutions.
• Should have hands on experience in working with VSO, GIT, Jenkins and JIRA.
• Should have experience on the handling Docker, Kubernetes & Helm.
• Experienced in working projects in agile model
• Good Client facing and communication skills
5+ years of experience in data and analytics with emphasis on big data and azure.
- Familiarity with data modeling, KPI analysis etc.
- Experience in the data and analytics lifecycle including source data analysis for gaps, data quality etc.
- Resource(s) will be required to work extensively on designing, coding and testing big data modules in the Azure Data Platform. Certifications are preferred (DP-200, DP-201, AZ-300, AZ-301 etc).
- Experience on working with Spark on Azure Databricks highly recommended.
- Test Case Design for Big Data Platforms
Experience with Big Data Technologies such as Hadoop, HDFS, Hive, S3 and the related Ecosystem
Expert in SQL Programming.
Experience in Python & Pyspark Programming
Good understanding of ETL Data warehousing concepts
Knowledge in NoSQL Databases & Unix Shell Scripting
Quick learner with an emphasis on process automation
Expert in DataIKU sql scripting and pipelines
AWS, Spark, S3, Hadoop
5 to 9 years
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