I SQUARE SOFT

AWS Cloud Data Engineer (BB-20886)

Found in: Talent IN

Description:
Good to Have (Preferred Skills) 2 - 3 years of experience in designing and developing Python programs for data curation and processing Knowledge of AWS storage, compute and serverless services, particularly S3, Lambda, Kinesis, SQS and Glue Expertise in at least two of these database technologies Relational, MPP and Distributed databases hosted in Cloud and On-Premise 4 - 6 years overall experience in IT or professional services experience in IT delivery or large-scale IT analytics projects Experience connecting and integrating with at least one of the following platforms Google Cloud, Microsoft Azure, Amazon AWS Experience with Redshift database that includes data modelling, data ingestion, integration, processing and provisioning from Redshift database Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for data pipeline operations Able to work in a rapidly changing business environment and adopt to the fast-paced environment quickly Advanced SQL writing and experience in data exploration and using databases in a business environment with complex datasets Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations Experience with programming in any of the languages - Java, PySpark and Spark Exposure to Apache Airflow Exposure to any open source / commercial ETL tools such as Talend, Informatica, DataStage etc. Familiar with data quality and standardization including reference data management Experience with catalog, lineage and metadata management Exposure to DevOps / CI & CD - Tools / services and methodologies Deploy logging and monitoring across the different integration points for critical alerts Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing Delivered data and analytics projects in any of the Cloud platforms (AWS / Azure / GCP) Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore

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