Data Engineer (SQL-focused)
- Role
- Data Engineering
- Experience
- Junior
- Employment
- Full-time
Open to CL only. Set where you work from to check your eligibility.
No BS summary
Data Engineer with strong SQL skills and at least 1 year in data engineering or similar roles. Focus is analyzing and validating existing ETL/data processes, especially IBM DataStage or similar tools. Needs excellent written and verbal English.
Core skills
Required skills
Required languages
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.
We are looking for a Data Engineer with strong SQL skills to support the analysis and validation of an existing data ecosystem. Rather than building new data pipelines or designing new architectures, this role focuses on understanding how the current implementation works, validating existing data processes, and helping document the technical landscape.
This role will work closely with technical leadership and cross-functional team members to ensure the documented solution accurately reflects how the system is implemented today.
Key Responsibilities
- Analyze existing SQL code, stored procedures, ETL jobs, and data transformations.
- Trace data through existing pipelines to understand how information moves across the platform.
- Validate that business rules are correctly implemented within the existing technical solution.
- Help document the current implementation, including data flows, transformations, table relationships, and technical dependencies.
- Collaborate with technical and business stakeholders to validate technical findings and support discovery activities.
- Review existing data processes to confirm system behavior and identify implementation details.
- Support technical documentation by providing insight into how the current data platform operates.
Required:
- Strong SQL skills, including complex queries, CTEs, window functions, joins, and stored procedures.
- Experience working with IBM DataStage or similar enterprise ETL tools.
- Experience analyzing existing ETL processes, data transformations, and relational databases.
- Understanding of how data flows through enterprise data platforms and ETL pipelines.
- Ability to analyze and understand existing implementations rather than only building new ones.
- Familiarity with data modeling concepts and table relationships.
- Strong analytical and problem-solving skills.
- Ability to collaborate effectively with technical and business stakeholders.
Nice to Have:
- Background in marketing or customer data environments.
- Experience with legacy systems or modernization initiatives.
- Experience creating technical documentation or participating in discovery phases of data projects.
What about languages?
- You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have?
- In order to thrive in this role, you must have at least 1 year of experience in data engineering or similar roles.
Our Perks and Benefits
📚Learning Opportunities:
- Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
👨🏽💻Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
- Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
What you'll do
- Analyze existing SQL code, stored procedures, ETL jobs, and data transformations.
- Trace data through existing pipelines to understand how information moves across the platform.
- Validate that business rules are correctly implemented within the existing technical solution.
- Help document the current implementation, including data flows, transformations, table relationships, and technical dependencies.
- Collaborate with technical and business stakeholders to validate technical findings and support discovery activities.
- Review existing data processes to confirm system behavior and identify implementation details.
- Support technical documentation by providing insight into how the current data platform operates.
What they require
- Strong SQL skills, including complex queries, CTEs, window functions, joins, and stored procedures.
- Experience working with IBM DataStage or similar enterprise ETL tools.
- Experience analyzing existing ETL processes, data transformations, and relational databases.
- Understanding of how data flows through enterprise data platforms and ETL pipelines.
- Ability to analyze and understand existing implementations rather than only building new ones.
- Familiarity with data modeling concepts and table relationships.
- Strong analytical and problem-solving skills.
- Ability to collaborate effectively with technical and business stakeholders.
- Preferred: Background in marketing or customer data environments.
- Preferred: Experience with legacy systems or modernization initiatives.
- Preferred: Experience creating technical documentation or participating in discovery phases of data projects.
- You will need excellent written and verbal English for clear and effective communication with the team.
- In order to thrive in this role, you must have at least 1 year of experience in data engineering or similar roles.
Benefits
- Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
- Travel opportunities to attend industry conferences and meet clients.
- Career development plans and mentorship programs to help shape your path.
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
- Flexible working options to help you strike the right balance.
- Other benefits may vary according to your location in LATAM.
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What people say about this company
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