Senior Data Engineer
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Job Description
Senior Data Engineer developing data solutions for high-impact enterprise initiatives at Blend. Focusing on data processing and building reliable data pipelines for analytics and business workflows.
Responsibilities:
- Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
- Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
- Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets.
- Perform data transformation and normalization to support analytics and reporting use cases.
- Work with large datasets using SQL and Python to process and analyze data efficiently.
- Ensure data quality by implementing validation rules, checks, and monitoring processes.
- Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.
- Support ETL processes and file handling workflows for structured and semi-structured data.
- Contribute to documentation and continuous improvement of data processes and standards.
Requirements:
- 4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus.
- Strong hands-on experience with Snowflake (Must).
- Strong hands-on experience with Python for data processing and transformation.
- Strong experience with SQL and working with large-scale datasets.
- Proven experience in data validation, data transformation, and normalization.
- Experience building and maintaining ETL pipelines and handling data ingestion workflows.
- Strong attention to detail with a focus on data quality and reliability.
- Ability to work in cross-functional environments and communicate effectively with stakeholders.
- Nice to have: Experience working with Salesforce data structures.
- Familiarity with Tamarac or similar RIA platforms.
- Experience with Compass or SharePoint integrations.
- Experience with file handling and ingestion processes (e.g., CSV, JSON, batch files).
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.
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