GCP Big Data Solutions Architect
7 days ago
About Tiger Analytics:
We are a forward-thinking analytics company that helps businesses make informed decisions through data-driven insights.
As a Senior Data Engineer, you will be part of our team that designs and implements scalable data solutions on the Big Data platform.
Our ideal candidate is a skilled professional with experience in designing and building solutions for near real-time stream processing as well as batch processing on the Big Data platform.
Job Requirements- You must have the ability to develop and manage scalable Hadoop cluster environments.
- You should be able to design solutions for Big Data applications.
- You will need to have experience in Big Data technologies like HDFS, Hadoop, Hive, Yarn, Pig, HBase, Sqoop, Flume, etc.
- You should also have working experience on Big Data services in any cloud-based environment.
- Familiarity with Spark, Pyspark, Python or Scala, Kafka, Akka, core or advanced Java, and Databricks is essential.
- You should know how to create and debug Hadoop and Spark jobs.
- Experience in NoSQL technologies like HBase, Cassandra, MongoDB, Cloudera, or Hortonworks Hadoop distribution is desirable.
- Familiarity with data warehousing concepts, distributed systems, data pipelines, and ETL is necessary.
- Familiarity with data visualization tools like Tableau is beneficial.
- Good communication and interpersonal skills are required.
- A minimum of 6-8 years of Professional experience with 3+ years of Big Data project experience is preferred.
- B.Tech/B.E from reputed institute is preferred.
The estimated salary for this role is $120,000 - $180,000 per year, depending on location and experience.
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