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AWS-Spark - Module / Technical Lead Openings in Bangalore at Mindtree

Role description :


JD 1:-


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

JD 2:-


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

JD 3:-


  • 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


Skills


AWS, Spark, S3, Hadoop


Experience :


5 to 9 years






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