Keylent Inc
Job ID-ACSC4X033
AWS Data Engineer
Plano, TX (Hybrid role)
Look for Near by candidates
US Citizen, Greencard Holder, EAD
Must have skills:
AWS, Java, Lake formation, Glue (ETL)
Required qualifications, capabilities, and skills •Formal training or certification in software engineering concepts and 3+ years applied experience •Experience with AWS cloud technologies, including S3 •Experience with SQL-based technologies (e.g., MySQL/ Oracle DB) •Proficient in coding in one or more languages; Java or Python •Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages •Cloud implementation experience with AWS including: o AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge o Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD o AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager •Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis •Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) •Proficiency in automation and continuous delivery methods. •Proficient in all aspects of the Software Development Life Cycle. •Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills •Snowflake knowledge or experience preferred •In-depth knowledge of the financial services industry and their IT systems •Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP
Must have skills:
AWS, Java, Lake formation, Glue (ETL)
Required qualifications, capabilities, and skills •Formal training or certification in software engineering concepts and 3+ years applied experience •Experience with AWS cloud technologies, including S3 •Experience with SQL-based technologies (e.g., MySQL/ Oracle DB) •Proficient in coding in one or more languages; Java or Python •Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages •Cloud implementation experience with AWS including: o AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge o Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD o AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager •Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis •Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) •Proficiency in automation and continuous delivery methods. •Proficient in all aspects of the Software Development Life Cycle. •Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills •Snowflake knowledge or experience preferred •In-depth knowledge of the financial services industry and their IT systems •Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP