Interesting Job Opportunity: ETL Developer - Data Migration/Integration - #978306


Date: 1 week ago
City: Mysore, Karnataka
Contract type: Full time
Job : ETL Developer

Skills Required

  • Experience in the database, data integration, and data migration
  • Good experience (3+ years) in development using databases such as Oracle, MS SQL Server, Teradata, etc.
  • Minimum of 2+ years of hands-on experience with Amazon Redshift.
  • Strong knowledge of the AWS environment and service knowledge with S3 storage understanding
  • Experience with the integration of data from multiple data sources.
  • Knowledge of various ETL techniques and frameworks.
  • Proficient in working with ETL tools such as Pentaho, ODI, or similar.
  • Hands-on experience in data warehouse (DW) and BI tools is mandatory.
  • Ability to write complex stored procedures and functions on multiple databases.
  • Extensive knowledge of SQL and NoSQL programming skills for database performance tuning

Good to have

  • Good knowledge of scripting languages such as Python and ShellScript
  • Strong knowledge of multiple cloud technologies, including VPC, EC2, S3, Amazon API Gateway, DynamoDB, SimpleDB, and AWS Route 53.
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
  • Experience with Hadoop v2 and Spark.
  • Experience in real-time streaming data processing with Spark/Kafka/Kinesis.
  • Management of the Hadoop cluster, with all included services and ability to solve any ongoing issues with operating the cluster.
  • Experience with NoSQL databases, such as HBase, Cassandra, and MongoDB.

Roles & Responsibilities

  • Interface with onsite/offshore team to gather, understand, and translate requirements related to ETL and Big Data Processing into the delivery process.
  • Work closely with other ETL Engineers to provide technical requirements and implementation details.
  • Develop ETL mappings and scripts.
  • Deploy, Run, and Debug the ETL system running the config scripts built by the ETL Engineering team.
  • Ensure continuous improvement in data engineering excellence by implementing best practices for coding, testing, and deploying.

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