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AWS Data Engineer

Roles & Responsibilities

  • 57 years of experience in data engineering
  • Strong expertise in AWS services including Glue, Redshift, S3, Lambda, Athena, and IAM
  • Proficient in SQL and at least one programming language (Python, Scala)
  • Experience with data modeling and schema design (normalized and denormalized) and familiarity with data lakes, data warehouse architecture, and cloud security best practices

Requirements:

  • Design and implement scalable data pipelines using AWS services (Glue, Lambda, Step Functions, S3, Redshift)
  • Build, maintain, and optimize data lakes and data warehouses
  • Develop and deploy ETL/ELT jobs for data ingestion, transformation, and enrichment
  • Ensure data quality, lineage, and governance are in place; monitor and troubleshoot production data workflows and optimize performance

Job description


Position: AWS Data Engineer

Location : Remote

Type of Hire :– Long Term Contract

Overview:

Design and implement scalable data pipelines using AWS services (e.g.| Glue| Lambda| Step Functions| S3| Redshift)Build| maintain| and optimize data lakes and data warehouses Develop and deploy ETLELT jobs for data ingestion| transformation| and enrichment Ensure data quality| lineage| and governance are in place Collaborate with data analysts| scientists| and business stakeholders to understand data needs Monitor and troubleshoot production data workflows and optimize performance Contribute to automation| CICD| and infrastructure-as-code (IaC) practices57 years of experience in data engineering Strong expertise in AWS services Glue| Redshift| S3| Lambda| Athena| IAM Proficient in SQL and at least one programming language (e.g.| Python| Scala)Experience with data modeling and schema design (normalized and denormalized)Familiarity with data lakes| data warehouse architecture| and cloud security best practices Knowledge of orchestration tools (e.g.| Step Functions| Airflow| MWAA)Exposure to CICD and IaC (Terraform)

Essential Skills: Design and implement scalable data pipelines using AWS services (e.g.| Glue| Lambda| Step Functions| S3| Redshift)Build| maintain| and optimize data lakes and data warehouses Develop and deploy ETLELT jobs for data ingestion| transformation| and enrichment Ensure data quality| lineage| and governance are in place Collaborate with data analysts| scientists| and business stakeholders to understand data needs Monitor and troubleshoot production data workflows and optimize performance Contribute to automation| CICD| and infrastructure-as-code (IaC) practices







Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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