Data Engineer Needed — Strong English Communication Required (Serious Bidders Only)
Budget: $750 – $1,500 USD
We are looking for an experienced Data Engineer to [briefly describe the core task, e.g., "build and maintain ETL pipelines, optimize our data warehouse, and integrate data sources into our reporting system"]. This role also requires excellent written and spoken English, as you'll be communicating directly with our team and documenting your work clearly.
This is a long-term opportunity for the right candidate, but we will only consider applicants who demonstrate real, relevant experience in their proposal.
1. Responsibilities:
- Design, build, and maintain scalable data pipelines (ETL/ELT)
- Optimize database performance and data storage architecture
- Collaborate with the team in clear written and spoken English
- Document processes and provide regular status updates
2. Required Skills:
- Proven experience with Python, SQL, Airflow, Spark, AWS/GCP/Azure, dbt
- Strong understanding of data modeling, warehousing, and pipeline design
- Fluent English (written and verbal) — please confirm your proficiency level
- Ability to work independently and meet deadlines
3. Screening Question (Required — Read Carefully)
To filter out automated bids, your proposal will be rejected if it does not start with the word "PIPELINE" in capital letters.
After that word, please answer the following in 3–5 sentences:
- Describe a specific data pipeline you've built (tools used, problem solved).
- Share a link to a relevant portfolio piece, GitHub repo, or sample (not just a profile link).
- State your available hours per week and your time zone.
Generic or copy-paste proposals that ignore this instruction will not be considered, regardless of bid amount.
4. How We'll Evaluate Bids:
- Proposals that follow the screening instructions above
- Verified Freelancer profile with relevant work history and reviews
- Clear, well-written English in the proposal itself (this is part of the evaluation)
- Realistic bid and timeline (extremely low bids with no relevant detail will be skipped)
This is a long-term opportunity for the right candidate, but we will only consider applicants who demonstrate real, relevant experience in their proposal.
1. Responsibilities:
- Design, build, and maintain scalable data pipelines (ETL/ELT)
- Optimize database performance and data storage architecture
- Collaborate with the team in clear written and spoken English
- Document processes and provide regular status updates
2. Required Skills:
- Proven experience with Python, SQL, Airflow, Spark, AWS/GCP/Azure, dbt
- Strong understanding of data modeling, warehousing, and pipeline design
- Fluent English (written and verbal) — please confirm your proficiency level
- Ability to work independently and meet deadlines
3. Screening Question (Required — Read Carefully)
To filter out automated bids, your proposal will be rejected if it does not start with the word "PIPELINE" in capital letters.
After that word, please answer the following in 3–5 sentences:
- Describe a specific data pipeline you've built (tools used, problem solved).
- Share a link to a relevant portfolio piece, GitHub repo, or sample (not just a profile link).
- State your available hours per week and your time zone.
Generic or copy-paste proposals that ignore this instruction will not be considered, regardless of bid amount.
4. How We'll Evaluate Bids:
- Proposals that follow the screening instructions above
- Verified Freelancer profile with relevant work history and reviews
- Clear, well-written English in the proposal itself (this is part of the evaluation)
- Realistic bid and timeline (extremely low bids with no relevant detail will be skipped)