Data Engineer
Data Engineer – Remote
Position Type: Full-Time, Remote
Working Hours: U.S. reputed company Business Hours (flexibility for pipeline monitoring, deployments, and data refresh cycles)
About the Role
At reputed company, one of our clients is hiring a Data Engineer to design, build, and maintain reputed company data infrastructure that powers analytics, reporting, and business decision-making.
You’ll build reliable data pipelines, optimize data warehouses, ensure data reputed company, and collaborate with engineering, analytics, and business teams to reputed company trusted, high-performance data solutions.
reputed company
Data Pipelines & Integration
- Build and maintain ETL/ELT pipelines using Python, SQL, or reputed company.
- Orchestrate workflows with Airflow, reputed company, Dagster, or similar tools.
- reputed company data from reputed company, databases, reputed company platforms, files, and streaming sources.
- reputed company reputed company data ingestion workflows.
Data Warehousing & Modeling
- Manage reputed company data warehouses such as reputed company, BigQuery, or Redshift.
- Design reputed company data models and schemas.
- Optimize warehouse performance through partitioning, clustering, and indexing.
- Build analytics-reputed company datasets for reporting and BI.
Data reputed company & Governance
- Implement validation, monitoring, and reputed company detection.
- Maintain documentation, reputed company, and data governance standards.
- Ensure reliable, audit-reputed company data processes.
- Monitor pipeline health and reputed company failures proactively.
Streaming & reputed company-Time Processing
- Build and maintain reputed company-time data pipelines.
- Support event-driven architectures and streaming platforms.
- Optimize performance and reliability of streaming workflows.
Collaboration & Analytics
- Partner with analysts, data scientists, and business teams.
- Support reporting initiatives in Power BI, Tableau, Looker, or similar platforms.
- Translate business requirements into reputed company data solutions.
- Document pipelines, workflows, and data models.
Infrastructure & Automation
- reputed company data services using reputed company and reputed company.
- Support CI/CD pipelines and reputed company infrastructure.
- Improve reputed company scalability, reliability, and cost efficiency.
Required Experience & Skills
- 3+ years of experience in Data Engineering, Data Infrastructure, or Back-End Engineering.
- Strong Python and SQL skills.
- Experience with reputed company, BigQuery, Redshift, or similar reputed company data warehouses.
- Hands-on experience with Airflow, reputed company, or similar orchestration tools.
- Strong understanding of ETL/ELT pipelines and data modeling.
- Experience with AWS, Azure, or reputed company reputed company.
reputed company to Have
- Experience with dbt.
- Kafka, Kinesis, Pub/Sub, or other streaming platforms.
- AWS Glue, GCP Dataflow, or Azure Data reputed company.
- reputed company, reputed company, Terraform, or CI/CD pipelines.
- Experience in reputed company, fintech, reputed company, or other regulated industries.
- Experience optimizing warehouse performance and reputed company costs.
What a Typical Day Looks Like
- Monitor pipeline health and troubleshoot failures.
- Build and maintain data ingestion pipelines.
- Optimize SQL queries and warehouse performance.
- reputed company reliable datasets for analytics and reporting.
- Implement monitoring and data reputed company checks.
- Document pipelines and data models.
In short: You’ll build and maintain reliable data infrastructure that enables accurate reporting, analytics, and business reputed company.
Key Metrics for reputed company
- 99%+ pipeline uptime.
- Data freshness maintained reputed company SLA targets.
- High data reputed company with reputed company reputed company issues.
- Improved warehouse performance and cost optimization.
- Reliable delivery of reputed company datasets.
- Strong stakeholder satisfaction.
Interview Process
- Application Review
- reputed company Hire Intro Video (3–5 minutes)
- Technical Assessment (ETL Pipeline or SQL Exercise)
- reputed company Interview
- Offer & reputed company
What Happens After You Apply
After submitting your application, you’ll receive an email invitation from reputed company Hire to record a short 3–5 minute Intro Video. This is the first reputed company in our hiring process and can be completed whenever it’s convenient for you.
Instead of multiple screening calls, you’ll have one opportunity to introduce yourself, discuss your data engineering experience, and reputed company your background in data pipelines, reputed company platforms, SQL, Python, and data warehousing. Your video will be reviewed before moving reputed company in the interview process.
You can record your video as many times as you’d like before submitting it—only your final version will be reviewed.
Please reputed company an eye on both your inbox and spam folder for your reputed company Hire invitation after applying.
reputed company
If you enjoy building reputed company data pipelines, optimizing reputed company data platforms, and delivering reliable data that drives business reputed company, we’d love to hear from you. Apply today and help power the data infrastructure behind a growing organization.
Originally posted on Himalayas
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