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qode.world

Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

New Jersey

Posted

18 days ago

Salary

Not specified

English

Job Description

Job Summary:
We are looking for a skilled Data Engineer with strong hands-on experience in AWS to design, build, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have expertise in modern data warehousing, ETL/ELT development, and distributed data processing while ensuring data quality, performance, and security.

Key Responsibilities:
·      Design, develop, and maintain scalable data pipelines using AWS services.
·      Build and optimize ETL/ELT workflows for structured and unstructured data.
·      Implement data lakes and data warehouses on AWS.
·      Work with large datasets to ensure high performance, reliability, and data integrity.
·      Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
·      Perform data modeling for analytical and operational use cases.
·      Ensure data quality, governance, and security best practices.
·      Monitor and troubleshoot data workflows and production issues.
·      Support CI/CD and automation for data platform deployments.

Required Skills & Experience:
·      Strong hands-on experience with AWS services such as S3, Glue, Redshift, Lambda, EMR, Athena, and RDS.
·      Proficiency in Python and SQL for data processing and analysis.
·      Experience in building and optimizing ETL/ELT pipelines.
·      Solid understanding of data warehousing and data lake architecture.
·      Experience with Apache Spark / PySpark.
·      Knowledge of workflow orchestration tools (Airflow or similar).
·      Familiarity with streaming frameworks (Kinesis/Kafka) is a plus.
·      Experience with data modeling and performance tuning.
·      Understanding of DevOps, CI/CD, and infrastructure as code (Terraform/CloudFormation).
·      Experience working in Agile/Scrum environments.

Good to Have:
·      Experience with Snowflake on AWS.
·      Exposure to real-time data processing.
·      AWS certification (e.g., AWS Certified Data Analytics / Solutions Architect).

Soft Skills:
·      Strong problem-solving and analytical skills.
·      Excellent communication and stakeholder management.
·      Ability to work in a fast-paced, collaborative environment.


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