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Future Help - Work Courses

Future Help - Work Courses

Courses, internships and vacancies for students.

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630
30.10.2026
630
30.10.2026
No ratings
630
30.10.2026
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Courses, internships and vacancies for students.

Подписчиков 1,871
Тематика Jobs and Freelance
Язык English
Ссылка t.me/futurehelp
Description

Future Help is a non-profit initiative for students: courses, internships, work and mutual assistance in growth.

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Future Help - Work Courses
Future Help - Work Courses
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🚀 We’re Hiring | Data Engineer | LatentView Analytics | Bangalore Are you a Data Engineer passionate about building scalable data pipelines, cloud platforms, and modern data infrastructure? We’re hiring Data Engineers with 4–10 years of experience to join LatentView. 📍 Locations: Bangalore 💼 Experience: 4–10 Years 🔧 What You’ll Work On Design and develop scalable ETL/ELT data pipelines. Build and optimize complex SQL queries and data transformations. Develop data models, warehouses, and semantic layers. Work with modern cloud data platforms and data warehouses/lakehouses. Build and orchestrate workflows using Airflow, dbt, Cloud Composer, Data Factory, or similar tools. Implement data validation, reconciliation, quality checks, and governance. Troubleshoot pipeline failures, performance issues, and data-quality problems. Collaborate with Data Architects, Data Scientists, Analysts, and business stakeholders. Mentor junior engineers and contribute to engineering best practices. 💻 Key Skills ✅ Advanced SQL — CTEs, complex joins, window functions & query optimization ✅ Python and/or PySpark ✅ End-to-end ETL/ELT pipeline development ✅ AWS / GCP / Azure ✅ Snowflake / BigQuery / Databricks / Microsoft Fabric ✅ Airflow / dbt / Cloud Composer / Data Factory ✅ Strong analytical, problem-solving & communication skills ⭐ Additional Opportunities Experience in any of the following is a strong plus: GCP + GenAI: Document AI, Vertex AI, embeddings, vector search, semantic modeling, LangChain/Agentic AI AWS Cloud-Native: S3, Lambda, SNS, Step Functions, Pandas/NumPy Databricks: PySpark at scale, DataOps, BI enablement, Git/CI-CD Microsoft Fabric: Data Factory, Dataflows Gen2, Medallion Architecture, Delta Lake, OneLake, Power BI, KQL, Purview Marketing/Media Data Engineering & MLOps Team Leadership: Mentoring, code reviews, sprint ownership & stakeholder management 🎓 Qualification: Bachelor’s/Master’s degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience. If you're an experienced Data Engineer looking for an opportunity to work across cloud, data platforms, analytics, and AI, we'd love to hear from you! 📩 Interested? DM me or share your updated resume/profile to this mail [email protected] 🔁 Please like, comment, and share this post with your [email protected]
Future Help - Work Courses
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