次の仕事の機会を見つけましょう

職種、スキル、勤務地で求人を検索できます。応募書類を準備する前に募集要件を確認しましょう。

魅力的な職種名を見つけることは、仕事探しの出発点です。業務内容、応募条件、働き方を自分の経験と照らし合わせましょう。このガイドでは、候補の絞り込み、応募書類の準備、提出先の確認を順番に進めるためのポイントを紹介します。

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

条件をクリア

検索結果: 11,301

← 検索結果に戻る

Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América

Bluelight Consulting

リモート勤務

勤務地
Remote (Suriname)
勤務時間
Full Time
掲載日
2026年10月10日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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 focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States 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 the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional 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 journey. What we are looking for Education & Experience Education: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent professional experience). Core Experience: Proven experience developing end-to-end data pipelines extracting/transforming/loading data from REST APIs, relational databases, cloud storage, and flat files. Snowflake 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 complex queries, tune performance, and optimize large-scale workloads. Data Modeling: Experience with dimensional modeling techniques (star schemas, fact tables, dimension tables). Cloud & DevOps: Familiarity with cloud-based data ecosystems, particularly Microsoft Azure. Managing source code and CI/CD pipelines using Git and Azure DevOps (or similar). Soft Skills & Practices: Strong analytical, problem-solving, and detail-oriented mindset. 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 enterprise data management. Preferred / Nice-to-Have Certifications: SnowPro, Azure Data Engineer Associate, or equivalent cloud 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 Summary Core: Snowflake, Python/PySpark, SQL Cloud & Orchestration: Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Key Vault DevOps & Infrastructure: Git, Azure DevOps, CI/CD, Infrastructure as Code (Terraform preferred) Integration & Analytics: REST APIs, Power BI Responsibilities Data Engineering & ETL Development Design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud-native technologies. Build reliable, efficient, and reusable data ingestion, transformation, and loading processes. Snowflake Data Platform & Warehousing Utilize Snowflake’s architecture to design, build, and optimize modern cloud data solutions. Implement and manage Snowflake objects (databases, schemas, tables, views, streams, tasks, stages, stored procedures). Leverage virtual warehouses, data sharing, time travel, and automated scaling to balance performance and cost efficiency. Apply dimensional modeling (star schemas, facts, dimensions) to build scalable enterprise data warehouses. Data Integration & Modeling Extract and ingest structured and semi-structured data from REST APIs, relational databases, SaaS apps, flat files, and cloud storage. Develop robust ingestion frameworks. Collaborate with data architects and stakeholders to create logical and physical data models aligned with business goals. Cloud Architecture & Standards Contribute to modern data platform concepts (data lakes, lakehouses, data mesh architectures, enterprise data catalogs). Support integration between Snowflake and cloud-native services (primarily Azure). Establish and enforce data engineering standards and best practices. Quality, Governance & Security Implement automated data quality controls, validation frameworks, and monitoring processes. Support data governance initiatives and maintain adherence to organizational standards. Ensure data security, privacy, and regulatory compliance (access controls, masking policies, industry best practices). Optimization, Operations & Maintenance Monitor and optimize Snowflake 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 resolution. 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 provide technical expertise. Company Benefits Competitive salary and bonuses, including performance-based salary increases. Generous paid-time-off policy Flexible working hours Work remotely Continuing education, training, conferences Company-sponsored coursework, exams, and certifications Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business. You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You’ll collaborate with modern technologies and work alongside some of the best professionals in the industry! If you’re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. Originally posted on Himalayas

検索して比較し、応募を準備しましょう

次の仕事で活かしたい職種やスキルから検索を始めましょう。勤務地と職種の条件を調整し、求人を開いて担当業務を比較してください。結果がない場合は、短い検索語を試すか、条件を一つずつ外してみましょう。

必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

応募前の確認リスト

仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

ResumizeAIから応募が送信されますか?

応募ボタンは外部サイトを開きます。企業または採用サービスの案内に従い、そのサイトで送信を完了してください。ResumizeAIで応募書類を作成しただけでは応募は送信されません。リンク先が企業のトップページの場合は、該当する募集を探してから手続きを進めましょう。

応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。