
Key Responsibilities
Architect and implement enterprise-grade Lakehouse solutions using Databricks
Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)
Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks
Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows
Design large-scale data warehousing solutions with 3NF and dimensional modeling
Establish data governance, security, and data quality frameworks, including Unity Catalog
Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)
Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)
Drive CI/CD, DevOps practices, and performance optimization of Spark workloads
Provide technical leadership, mentor teams, and ensure successful delivery
Collaborate with stakeholders to translate business requirements into scalable solutions
Required Skills & Experience
10+ years in Data Engineering / Analytics / AI with strong delivery ownership
Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)
Strong hands-on experience with:
Apache Spark (performance tuning & scalability)
Python and SQL
Proven experience in:
Solution architecture and large-scale data platforms
Data warehousing and advanced data modeling
Batch and real-time processing systems
Experience with:
Azure Databricks and Azure data services
ML flow and MLOps practices
ServiceNow or enterprise integrations
Exposure to AI technologies (RAG, LLM-based solutions)
Strong stakeholder management and leadership skills
Certifications (Preferred)
Databricks certifications aligned to data engineering and AI tracks, such as:
Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)
Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)
Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases
Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

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Strong Data Scientist/Machine Learnings/ AI Engineer Profile
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iOS Developer responsible for developing app from scratch.
We are looking to recruit a candidate for a role that will require:
- Translate design and wireframes into code
- Design, build, and maintain high performance, reusable, and reliable code
- Identify solutions through research and collaboration that resolves the root of problems as they arise
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- Experience with cloud message APIs and usage of push notifications
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Education: Engineering
Work experience: 2 years relevant experience
Compensation: Based on Industry StandardsWhat You’ll Do:
We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.
Responsibilities:
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What We’re Looking For:
Required Skills:
● 1–3 years of hands-on experience in a DevOps or SRE role
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Nice to have:
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● Familiarity with incident response and disaster recovery planning
● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana
Davis Index is a leading market intelligence platform and publication that specializes in providing accurate and up-to-date price benchmarks for ferrous and non-ferrous scrap, as well as primary metals. Our dedicated team of reporters, analysts, and data specialists publishes and processes over 1,400 proprietary price indexes, metals futures prices, and other reference data. In addition, we offer market intelligence, news, and analysis through an industry-leading technology platform. With a global presence across the Americas, Asia, Europe, and Africa, our team of over 50 professionals works tirelessly to deliver essential market insights to our valued clients.
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- Working knowledge of Python.
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Responsible for the day-to-day management of assigned account(s). Manages/coordinates Client projects from planning to completion. May serve as the daily contact between the Agency and the Client. Effectively executes strategies, problem-solves, and develops solid business relationships. Provides Client service support.
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- Social Media Manager is responsible for the day-to-day execution of client projects. May serve as the daily contact between client and agency.
- -Proactive in developing and maintaining a close and productive relationship with key client contacts, acting with integrity at all times and including the SAM or AD in communications as appropriate.
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3+ years of Experience in Test Automation using Selenium, C#
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Intake requirements and collaborate with other designers, product managers and engineers to design, prototype, and deliver new interaction models and experiences to our customers
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