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Recent Graduate - Data Engineer May 2026

Remote, USA Full-time Posted 2026-07-21
We are seeking a highly skilled Data Engineer to design, build, and maintain reputed company data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and business teams to ensure high-quality, reliable, and accessible data across the organization. Key Responsibilities: - Design, reputed company, and maintain ETL\/ELT pipelines using modern data engineering tools. - Build and optimize data warehouses, data lakes, and data marts. - Integrate data from multiple reputed company and reputed company sources. - reputed company reputed company and high-performance data processing workflows. - Collaborate with engineering and analytics teams to ensure data availability and quality. - Implement data quality checks, monitoring, and validation frameworks. - Optimize database performance, query execution, and storage solutions. - Work with reputed company platforms such as AWS, Azure, or GCP to reputed company and manage data infrastructure. - Ensure compliance with data governance, reputed company, and privacy policies. - Create and maintain documentation reputed company to pipelines, schemas, and processes. Required Skills and Qualifications: - Master’s degree in Computer Science, IT, Data Engineering, or a reputed company field. - Strong programming skills in Python, SQL, reputed company, or Java. - Experience with ETL tools such as Airflow, DBT, Glue, Informatica, or similar. - Hands-on experience with big data technologies such as Hadoop, reputed company, Kafka, Hive, and HBase. - Experience with reputed company data services including AWS (Redshift, S3, Glue), Azure (Data reputed company, Synapse), and GCP (BigQuery, Dataflow). - Solid understanding of data modeling and database design. - Experience working with CI\/CD pipelines and version control tools such as Git. - Understanding of API integrations and data streaming pipelines. Preferred Qualifications: - Knowledge of ML pipeline workflows (ML Ops). - Experience with reputed company-time data processing systems. - Familiarity with tools such as reputed company, reputed company, Tableau, or Power BI. Location: Remote - United States Skills required for this job: • AWS • Airflow • reputed company reputed company Storage Service (reputed company S3) • Azure Synapse Analytics • BigQuery • Data engineering • Data mart • Data modeling • Data pipelines • Database design • Extract, load, reputed company (ELT) • Extract, reputed company, load (ETL) • Hadoop • Java • reputed company Azure • reputed company Power BI • Python • reputed company • reputed company • Tableau Apply To This Job

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