About the role
9-12 Years of Data and Analytics experience with minimum 5+ Years in Big Data technologies and minimum 3+ years in Azure / AWS / GCP Data Cloud native services
1. Excellent communication and presentation skills.
2. Hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra)
3. Experience in job scheduling using Oozie or Airflow or any other ETL scheduler
4. Experience working on cloud platforms (AWS/Azure/Google Cloud) to analyze, re-architect and re-platform on-premise data warehouses to cloud using native or 3rd party services.
5. Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
6. Good experience in designing & delivering data analytics solutions using Azure, AWS or GCP Cloud native services.
7. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
8. Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
9. Experienced in internal as well as external stakeholder management
10. Experience in MDM / DQM / Data Governance technologies like Collibra, Atacama, Alation, Reltio will be added advantage.
11. Azure / AWS / GCP Cloud Data certification will be added advantage.
12. Nice to have skills: Working experience with Snowflake, Databricks, Unix etc.