AWS Data Engineer

Keylent, Inc.

$90K — $130K *
Plano, TX 75025In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Formal training or certification in software engineering concepts with 3+ years of experience.
  • Proficient in Java or Python for coding and debugging.
  • Experience with AWS services including S3 and data security mechanisms.
  • Solid experience with SQL-based technologies like MySQL or Oracle DB.
  • Familiarity with data formats such as Parquet and AVRO is essential.
  • Knowledge of data analysis techniques and statistical tools.
  • Experience with Agile methodologies and CI/CD practices.

Responsibilities

  • Develop and maintain data pipelines using AWS services.
  • Implement ETL processes with AWS Glue and manage data lakes.
  • Analyze data patterns and design appropriate statistical tools.
  • Collaborate with teams to improve cloud-based data services.
  • Ensure data security and compliance across AWS platforms.
  • Automate deployment processes and optimize cloud operations.
  • Participate in software development life cycle activities, emphasizing Agile.

Benefits

  • Flexible hybrid work schedule.
  • Medical, dental, and vision insurance plans available.
  • 401(k) plan with company matching contributions.
  • Opportunities for professional development and training.
  • Generous paid time off and holiday leave.
Full Job Description
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

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