Senior AWS Data Engineer

Your skills & Your Experience Experience

• 8-10 years' experience in design, architecture or development in Analytics and Data Warehousing.
• Experience in building end-to-end solutions with the Big data platform, Spark or scala programming.
• 5 years of Solid experience in ETL pipeline building with spark or sclala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL / PL-SQL.
• Experience in Big data platform for ETL development with AWS cloud platform.
• Proficiency in AWS cloud services, specifically EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, 1AM, Secret Manager, Step functions, SQS, SNS, Cloud Watch.
• Excellent skills in Python-based framework development are mandatory.
• Should have experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis.
• Extensive experience with Teradata data warehouses and Cloudera Hadoop. Proficient across Enterprise Analytics / BI / DW / ETL technologies such as Teradata Control Framework, Tableau, OBIEE, SAS, Apache Spark, Hive