Penjualan Big Data Jobs

Hiring: Lead Data Engineer (Data Platforms & Analytics Infrastructure) Job ID: GKS2005_1 --- Role: Lead Data Engineer Mode: Remote (Monthly visit to Coimbatore office preferred) Budget: ₹50,000 – ₹60,000/month Contract Duration: 8 Months Experience: 7 – 10 Years --- About the Role We are looking for a Lead Data Engineer to build and scale a robust data platform supporting analytics and AI/ML use cases. This role involves end-to-end ownership of the data lifecycle along with leading a team to deliver reliable and high-performance data solutions. --- Key Responsibilities Build scalable batch and real-time data pipelines Design and implement Lakehouse architecture (Delta Lake / Iceberg) Develop ETL/ELT workflows using Airflow, dbt, or Prefect Ensure data quality,...

I’m setting up an intensive, expert-level course for a team that already designs and operates complex AWS workloads. The objective is to deepen their Data Engineering skills on AWS, so we need a trainer who can move straight past fundamentals and into real-world architecture, scaling strategies, and cost-efficient design. Core focus: Data Engineering with AWS, specifically • Data Storage Solutions • Data Processing & ETL • Big Data Analytics Your role is to craft and deliver a hands-on program that blends concise theory, architectural white-boarding, and live labs. Glue, EMR, Redshift, Lake Formation, Kinesis, Lambda, Step Functions, and related services should feature prominently, but I’m open to your proven toolset and workflows. Deliverables 1...

Hiring: ML Engineer – Test & Learn Platform Experience: 3+ Years Location: Remote (1–2 visits to Bangalore required) Salary: ₹40,000 – ₹50,000/month --- Role Overview: We are looking for an ML Engineer to build and scale experimentation and causal inference systems. You will work on statistical engines, APIs, and cloud-based pipelines to enable data-driven decision-making. --- Key Responsibilities: - Develop ML/statistical models (DID, Synthetic Control, A/B Testing) in Python - Build and integrate FastAPI-based services - Design large-scale data pipelines using PySpark, Delta Lake, and Azure Data Lake - Optimize Spark jobs (memory, partitioning, performance tuning) - Work with Databricks for job orchestration and data workflows - Containerize and deploy applica...

I have a strong conceptual idea for an AI-driven HR system that micro and small-to-medium businesses can adopt straight out of the box. The goal is to streamline day-to-day HR work—think recruitment, onboarding, performance reviews, payroll queries, policy questions, and everything in between—using machine learning, natural-language processing, and smart workflow automation. Right now nothing exists beyond high-level vision, so the first milestone will be converting loose concepts into a clear product roadmap and technical architecture. From there we will move into an MVP that demonstrates core AI capabilities (predictive analytics, intelligent data capture, automated task routing, conversational self-service, etc.) while remaining cloud-agnostic for global deployment. Key de...