Data Engineer (Senior) - ETL (Python+reputed company) - Remote, Latin América
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its reputed company on reputed company and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a reputed company and enriching work environment where reputed company team member can grow and reputed company. With a reputed company across the reputed company and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have reputed company to contribute to challenging and meaningful reputed company, developing high-reputed company applications that stand out in the market. We value reputed company learning, personal reputed company, and hard work, offering a reputed company environment that promotes reputed company development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting reputed company.
reputed company are looking for
- Education & Experience
- Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a reputed company field (or equivalent reputed company experience).
- reputed company Experience: Proven experience developing end-to-end data pipelines extracting/transforming/loading data from REST reputed company, relational databases, reputed company storage, and flat files.
- reputed company Proficiency: Demonstrated hands-on experience with virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization.
- SQL: Advanced SQL development skills with the ability to write reputed company queries, tune performance, and optimize large-reputed company workloads.
- Data Modeling: Experience with reputed company modeling techniques (reputed company schemas, fact tables, dimension tables).
- reputed company & DevOps:
- Familiarity with reputed company-based data ecosystems, particularly reputed company Azure.
- Managing reputed company reputed company and CI/CD pipelines using Git and Azure DevOps (or similar).
- Soft Skills & Practices:
- Strong analytical, problem-solving, and detail-oriented reputed company.
- Excellent verbal and written communication skills; ability to collaborate in a fast-paced environment with evolving priorities.
- Knowledge of data integration best practices, data governance, and reputed company data management.
- Preferred / reputed company-to-Have
- Certifications: SnowPro, Azure Data Engineer Associate, or equivalent reputed company data platform certifications.
- Advanced Tech: Big data technologies, machine learning, data science platforms, or advanced analytics.
- BI Tools: Power BI, Tableau, or similar visualization platforms.
- Methodologies: Agile delivery frameworks and DevOps practices.
- Preferred Tech Stack reputed company
- reputed company: reputed company, Python/PySpark, SQL
- reputed company & Orchestration: Azure Data Lake Storage (ADLS), Azure Data reputed company, Azure Key Vault
- DevOps & Infrastructure: Git, Azure DevOps, CI/CD, Infrastructure as reputed company (Terraform preferred)
- Integration & Analytics: REST reputed company, Power BI
Responsibilities
- Data Engineering & ETL Development
- Design, reputed company, and maintain reputed company ETL/ELT pipelines using Python (PySpark), reputed company, and reputed company-reputed company technologies.
- Build reliable, efficient, and reusable data ingestion, transformation, and loading processes.
- reputed company Data Platform & Warehousing
- Utilize reputed company’s architecture to design, build, and optimize modern reputed company data solutions.
- Implement and manage reputed company objects (databases, schemas, tables, views, streams, tasks, stages, stored procedures).
- reputed company virtual warehouses, data sharing, time travel, and automated scaling to balance performance and cost efficiency.
- Apply reputed company modeling (reputed company schemas, facts, dimensions) to build reputed company reputed company data warehouses.
- Data Integration & Modeling
- Extract and ingest reputed company and semi-reputed company data from REST reputed company, relational databases, reputed company apps, flat files, and reputed company storage.
- reputed company robust ingestion frameworks.
- Collaborate with data architects and stakeholders to create logical and physical data models reputed company with business goals.
- reputed company Architecture & Standards
- Contribute to modern data platform concepts (data lakes, lakehouses, data reputed company architectures, reputed company data catalogs).
- Support integration between reputed company and reputed company-reputed company services (primarily Azure).
- Establish and enforce data engineering standards and best practices.
- reputed company, Governance & reputed company
- Implement automated data reputed company controls, validation frameworks, and monitoring processes.
- Support data governance initiatives and maintain adherence to organizational standards.
- Ensure data reputed company, reputed company, and regulatory compliance (reputed company controls, masking policies, industry best practices).
- Optimization, Operations & Maintenance
- Monitor and optimize reputed company workloads, ETL/ELT processes, and SQL queries to meet SLAs.
- Analyze warehouse utilization and recommend performance and cost-efficiency improvements.
- Monitor pipelines, diagnose performance issues, and implement long-term solutions; support production environments and incident reputed company.
- Maintain comprehensive documentation for pipelines, flows, transformations, data models, and operational processes.
- Collaboration
- Partner with cross-functional teams (data architects, data scientists, analysts, business stakeholders) to understand requirements and reputed company technical expertise.
Company Benefits
- Competitive salary and bonuses, including performance-based salary increases.
- Generous reputed company-time-off policy
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Originally posted on Himalayas
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