Azure Data Engineer | SQL | Python | Pyspark
Budget: ₹75,000 – ₹150,000 INR
Proficiency in SQL Writing, SQL Concepts, Data Modelling Techniques & Data Engineering Concepts is a must
Hands on experience in ETL process, Performance optimization techniques is a must.
Candidate should have taken part in Architecture design and discussion.
Minimum of 2 years of experience in working with batch processing/ real-time systems using various technologies like Databricks, HDFS, Redshift, Hadoop, Elastic MapReduce on AWS, Apache Spark, Hive/Impala and HDFS, Pig, Kafka, Kinesis, Elasticsearch and NoSQL databases
Minimum of 2 years of experience working in Datawarehouse or Data Lake Projects in a role beyond just Data consumption.
Minimum of 2 years of extensive working knowledge in AWS building scalable solutions. Equivalent level of experience in Azure or Google Cloud is also acceptable
Minimum of 2 years of experience in programming languages (preferably Python)
Familiar with tools like Git, Code Commit, Jenkins, Code Pipeline
Familiar with Unix/Linux and Shell Scripting
Apply only if you are able to give 8 hours/day
Hands on experience in ETL process, Performance optimization techniques is a must.
Candidate should have taken part in Architecture design and discussion.
Minimum of 2 years of experience in working with batch processing/ real-time systems using various technologies like Databricks, HDFS, Redshift, Hadoop, Elastic MapReduce on AWS, Apache Spark, Hive/Impala and HDFS, Pig, Kafka, Kinesis, Elasticsearch and NoSQL databases
Minimum of 2 years of experience working in Datawarehouse or Data Lake Projects in a role beyond just Data consumption.
Minimum of 2 years of extensive working knowledge in AWS building scalable solutions. Equivalent level of experience in Azure or Google Cloud is also acceptable
Minimum of 2 years of experience in programming languages (preferably Python)
Familiar with tools like Git, Code Commit, Jenkins, Code Pipeline
Familiar with Unix/Linux and Shell Scripting
Apply only if you are able to give 8 hours/day