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Big Data Engineer - Financial and Developer Services| Amazon 2022 | Chennai

Dates to Consider:

BASIC QUALIFICATIONS

• Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline

• Hands-on experience and advanced knowledge of SQL and query performance tuning skills.

• Basic scripting skills using Python

• 1+ years of experience as a Data Engineer or in a similar role

• Experience with data modeling, data warehousing, and building ETL pipelines

• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)

• Experience working with AWS big data technologies (EMR, Redshift, S3, AWS Glue, Kinesis and Lambda)

• Knowledge of data management fundamentals and data storage principles

• Knowledge of distributed systems as it pertains to data storage and computing

• Effective analytical, troubleshooting, and problem-solving skills

PREFERRED QUALIFICATIONS

• Masters in computer science, or related technical quantitative field

• 3+ years of experience as a Data Engineer in a company with large, complex data sources.

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

• ETL development experience on large datasets (terabytes in size)

• Creating queries in the hive, scala, presto, or other big data platforms

• Development experience in one of the programming languages (Java) is a plus

• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy

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How To Apply:

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