AWS Data Engineer
Plano, TX (Hybrid role)
Must have skills: AWS, Java/ Python, Lake formation, Glue (ETL), Spark/PySpark, ETL
Domain: Banking / Credit card
Required qualifications, capabilities, and skills
โข Formal training or certification in software engineering concepts and 3+ years applied experience
โข Experience with AWS cloud technologies, including S3
โข Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
โข Proficient in coding in one or more languages; Java or Python
โข Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
โข 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
โข Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
โข Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
โข Proficiency in automation and continuous delivery methods.
โข Proficient in all aspects of the Software Development Life Cycle.
โข Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Preferred qualifications, capabilities, and skills
โข Snowflake knowledge or experience preferred
โข In-depth knowledge of the financial services industry and their IT systems
โข Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP