Cloud Data Engineering Lead

1 month ago


Bengaluru, Karnataka, India Tiger Analytics Full time
About the Role

We are seeking an experienced Cloud Data Engineering Lead to join our team at Tiger Analytics. This role involves designing, architecting, deploying, and maintaining cloud-based big data solutions on Microsoft Azure using various technologies.

Responsibilities
  • Design and implement scalable cloud-based data lakes using technologies like Data Factory (ADF), ADLS, Databricks, and Azure Synapse Analytics.
  • Manage the full life cycle of big data solutions from requirement gathering and analysis to platform selection, architecture design, and deployment.
  • Collaborate with business domain experts, data scientists, and application developers to develop big data solutions.
  • Explore and learn new technologies for creative business problem-solving and mentor a team of data engineers.
Requirements
  • Strong hands-on experience in implementing data lakes with technologies like Data Factory (ADF), ADLS, Databricks, Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview.
  • Experience with big data technologies like Hadoop (CDH or HDP), Spark, Airflow, NiFi, Kafka, Hive, HBase, or MongoDB, Neo4J, Elastic Search, Impala, Sqoop, etc.
  • Strong programming and debugging skills in Python and Scala/Java, with experience building REST services.
  • Good understanding and experience of using CI/CD with Git, Jenkins/Azure DevOps.
  • Hands-on experience/exposure to NoSQL databases and data modeling in Hive.
  • At least 9 years of technical experience, with at least 2 years on MS Azure and 2 years on Hadoop (CDH/HDP).
  • B.Tech/B.E from a reputed institute preferred.
Compensation

The compensation package is competitive and commensurate with expertise and experience. The estimated salary for this role is around $140,000 - $180,000 per year, depending on qualifications and location.



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