Urgently Hiring: Data Engineer
Amazatic - Snowflake, Arizona, United States, 85937
Work at Amazatic
Overview
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Overview
SQL, Snowflake, Python, AWS Mandatory Skills
5+ Years of experience as a Data Engineer Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation) Strong knowledge of joins and common table expressions (CTEs) Strong experience with Python Experience in Snowflake, ETL, SQL, CI/CD Strong expertise in ETL process and with various data model concepts Knowledge of star schema and snowflake schema Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue Nice to Have:
Experience with Big Data Tools and technologies Good Understanding of data structures and data analysis Knowledge of Insurance Domain is an addition. Responsibilities
Understand and translate business needs into data models supporting long-term solutions. Perform reverse engineering of physical data models from databases and SQL scripts. Analyze data-related system integration challenges and propose appropriate solutions. Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value) Urgently Hiring: Data Engineer
Pune Note: We want to emphasize the importance of complete honesty in your application. Concealing or misrepresenting any information may lead to disqualification from the selection process. 5+ Years of experience as a Data Engineer Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation) Strong knowledge of joins and common table expressions (CTEs) Strong experience with Python Experience in Snowflake, ETL, SQL, CI/CD Strong expertise in ETL process and with various data model concepts Knowledge of star schema and snowflake schema Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue Experience with Big Data Tools and technologies Good Understanding of data structures and data analysis Knowledge of Insurance Domain is an addition. SQL, Snowflake, Python, AWS Understand and translate business needs into data models supporting long-term solutions. Perform reverse engineering of physical data models from databases and SQL scripts. Analyze data-related system integration challenges and propose appropriate solutions. Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value) Simply complete the form, and we’ll contact you
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