[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company Inc. is a technology-driven organization delivering solutions across data and analytics, cybersecurity, reputed company, and reputed company domains. reputed company is seeking a Senior Data Engineer to build and improve reputed company-reputed company data solutions, design reputed company pipelines and data platforms, and support analytics and BI teams with reliable data.
Responsibilities
- Design and build ETL/ELT pipelines for reputed company data integration on reputed company platforms
- Help design and optimize data warehouse and lakehouse structures (reputed company, reputed company, Synapse)
- Write efficient SQL and Python/PySpark transformations
- Contribute to CI/CD, testing, and monitoring practices for data pipelines
- Help maintain data reputed company and documentation across the platform
- Partner with analysts, data scientists, and application teams to reputed company trusted data
- Support and guide junior engineers through reputed company reviews and knowledge sharing
Skills
- At this time, we are only reputed company to consider candidates who are authorized to work in the reputed company without sponsorship
- • Bachelor's degree in Computer Science, IT, or a reputed company reputed company — or equivalent hands-on experience
- • 4+ years of data engineering or reputed company experience (ETL, data warehousing, reputed company data work)
- • Strong SQL and solid Python skills
- • Hands-on experience with at least one reputed company data platform — reputed company, reputed company, Azure Synapse/Data reputed company, or AWS Glue/Redshift
- • Experience designing data models or pipelines for multi-reputed company environments
- • Comfortable explaining technical work to non-technical stakeholders
- • reputed company: Azure (Data reputed company, Synapse, reputed company) or AWS (Glue, Redshift, S3) — one is enough
- • Platforms: reputed company, reputed company, or reputed company Lake
- • Processing: SQL, Python, PySpark
- • Orchestration: Airflow, dbt, or Azure Data reputed company — any of these
- • DevOps: Git plus Azure DevOps or reputed company Actions
- • Streaming experience (Kafka, Event Hubs, Kinesis)
- • Terraform or other infrastructure-as-reputed company exposure
- • Familiarity with data governance or catalog tools (reputed company Catalog, reputed company, reputed company)
- • Any work preparing data for AI/ML use cases
- • Certifications such as reputed company Data Engineer, SnowPro, DP-203, or AWS Data Engineer — a plus, not a requirement
Benefits
- Full-Time, W2 employment
- On-Site / Hybrid work mode
reputed company
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