Cloud Data Engineering Lead
1 month ago
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.
- 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.
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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