Must have :: Salesforce experience Skills: Apex, Aura, LWC, SOQL, Triggers, Conga, DocuSign, Flows, Admin, Deployment, etc. Advanced knowledge of Salesforce permissions, roles, reports, dashboards, etc. Experience with APIs and integrations. Experience working on an Agile development team. Experience with software development outside of the Salesforce ecosystem. Excellent communication and collaboration skill. Show more Show less
Job Title: Data Engineer 📍 Location: Hybrid (3 Days in a week WFO) (Pune, Bangalore, Noida, Mumbai, Hyderabad) 🕒 Experience: 6 – 10 Years 📅 Employment Type: Contract (as applicable) 💼 Evaluation Sheet Submission: Mandatory (with one-liner comments) Key Responsibilities: Design, develop, and maintain robust and scalable data pipelines using Python, PySpark, SQL, and Spark SQL. Collaborate with data scientists, analysts, and other engineering teams to support data integration, transformation, and delivery. Optimize data processing workflows for performance, scalability, and reliability. Build reusable components and libraries to streamline data engineering tasks. Work closely with business stakeholders to understand data requirements and ensure high data quality. Monitor and debug data workflows and resolve issues in a timely manner. Mandatory Skills & Qualifications: 6–10 years of experience as a Data Engineer in large-scale data environments. Strong proficiency in: Python – scripting and automation PySpark – distributed data processing SQL & Spark SQL – advanced queries, performance tuning, data modeling Hands-on experience with big data frameworks and data lake architectures. Solid understanding of ETL/ELT processes, data quality, and data governance principles. Preferred Skills (Nice to Have): Experience with cloud platforms like AWS, Azure, or GCP Exposure to tools like Airflow, Kafka, or Delta Lake Familiarity with CI/CD practices for data engineering workflows 📄 Note: Candidates must submit an evaluation sheet with one-liner comments for each skill area. Applications without this will not be considered. If you're a passionate Data Engineer ready to work on high-impact projects using modern big data tools, we’d love to connect with you! 📩 Apply now or reach out at hr-ops@pinakin-kantha.com Industry Retail Apparel and Fashion Employment Type Contract Show more Show less
Strong Linux Administration experience, including deep expertise in system configuration, user management, kernel tuning, log analysis, and performance troubleshooting. Hands-on experience with Docker and container orchestration (e.g., Kubernetes). Solid knowledge of Terraform for infrastructure automation, provisioning, and managementExperience with cloud platforms (AWS, Azure, GCP). Familiarity with CI/CD pipelines and tools like Jenkins, Git, or similar. Exposure to Kubernetes and container orchestration technologies. Certifications in Linux administration, SRE, DevOps, or cloud technologies. Proficiency with monitoring tools like Grafana, Prometheus, and Opsgenie to track performance and uptime. Experience in incident management, ensuring that issues are resolved promptly while maintaining SLA, SLO, and SLI metrics. Expertise in debugging and resolving complex technical issues in distributed systems, with a focus on minimizing downtime. Proven ability to write and maintain runbooks and operational procedures for troubleshooting and system recovery. Experience in data center management and ensuring 24/7 availability of production infrastructure. Strong understanding of automation tools (e.g., Terraform, Ansible) and continuous improvement practices. Evaluation pointers 1. Check if they have experience working with Linux Networking. 2. If they know how to work or write Docker Files and have experience working with Docker networks. 3. Can they write ansible playbooks on the fly? 4. Shell scripting or Python experience - not just edit others but should be able to write easy/moderate scripts. 5. Finally should have good experience working with Prometheus, Alert Manager and Grafana. Show more Show less
Role: HubSpot Data Architect Location: Remote Mode: Contract Experience: 8+ Years Duration: 6 months Shift Timings: IST Job Description: We are looking for a seasoned Data Architect with strong experience in HubSpot to design and manage scalable data solutions. You will lead data integration, architecture planning, and ensure data consistency across HubSpot and connected systems (CRM, marketing automation, etc.). Key Responsibilities: Design and implement HubSpot data architecture and governance models Develop data pipelines and integrations between HubSpot and other platforms (e.g., Salesforce, Snowflake, etc.) Ensure data quality, consistency, and compliance Optimize workflows, custom objects, and reporting within HubSpot Collaborate with marketing, sales, and IT teams to align data strategy Requirements: Strong expertise in HubSpot (CRM, Marketing, and CMS modules) Experience with ETL tools, APIs, and integration platforms Proficient in data modeling, governance, and architecture Knowledge of SQL, data warehousing, and analytics tools
8+ yrs 5+ years of hands-on experience in Oracle EBS Financials, especially in Accounts Receivable (AR). Strong knowledge of Oracle Financial modules, including General Ledger (GL), Payables (AP), and Receivables (AR). Expertise in PL/SQL development, including writing and optimizing complex queries, procedures, functions, triggers, and packages. Experience with AR Customization, including modifications to invoices, receipts, and revenue recognition. Strong understanding of Oracle EBS architecture, including API development and standard interface programs. Good problem-solving skills with the ability to troubleshoot EBS Financials issues. Experience in Oracle Forms, Reports, Workflow Builder, and XML Publisher (preferred). Ability to work independently and collaboratively with finance and technical teams.
🚀 We’re Hiring – Sr. Oracle PL/SQL DB Developer Are you an expert in Oracle PL/SQL and passionate about building scalable database solutions? Join us for an exciting opportunity in a dynamic enterprise environment! 📍 Role: Sr. Oracle PL/SQL DB Developer 🕒 Experience: 7–10 Years ⏰ Shift Timing: 11:00 AM – 8:00 PM IST (with flexibility for EST overlap as per project needs) ✨ Key Skills & Expertise: 🔹 7+ years of hands-on Oracle PL/SQL development in large-scale environments 🔹 Advanced SQL, PL/SQL procedures, functions, packages & triggers 🔹 Strong knowledge of Oracle DB architecture, performance tuning & query optimization 🔹 Experience in data modeling, ETL & data integration techniques 🔹 Proficiency with tools like Toad, SQL Developer, Oracle Enterprise Manager 🔹 Version control (Git/SVN) & Unix/Linux shell scripting exposure 🔹 Knowledge of Oracle 12c/19c features & migrations 🔹 Familiarity with Oracle APEX, Forms/Reports, Oracle EBS (good to have) 🔹 Understanding of Agile/DevOps & CI/CD pipelines 🎓 Preferred Qualifications: ✅ Oracle PL/SQL Developer Certified Professional ✅ Experience with Oracle Cloud, AWS, Azure (DB services) ✅ Knowledge of REST/SOAP APIs for data integration ✅ Exposure to Data Warehousing & BI tools 📩 Interested? Send your updated resume to neha@pinakin-kantha.com hashtag #OracleJobs hashtag #PLSQLDeveloper hashtag #OracleHiring hashtag #OracleCareers hashtag #DatabaseDeveloper hashtag #OraclePLSQL hashtag #OracleDatabase hashtag #ETLDeveloper hashtag #DataIntegration hashtag #OracleSQL hashtag #SQLDeveloper hashtag #UnixLinux hashtag #PerformanceTuning hashtag #OracleCloud hashtag #DatabaseJobs hashtag #HiringNow hashtag #NowHiring hashtag #TechHiring hashtag #Oracle12c hashtag #Oracle19c hashtag #OracleDBA hashtag #OracleSQLDeveloper hashtag #DataModeling hashtag #DevOps hashtag #AgileJobs hashtag #OracleCareersIndia hashtag #WorkFromIndia hashtag #JoinOurTeam hashtag #ITJobs hashtag #CareerGrowth
Responsibilities: ●Design and implement Salesforce Data Cloud architecture for enterprise-scale projects. ●Build and optimize Unified Data Model (UDM), identity resolution, and segmentation. ●Integrate Data Cloud with CRM, ERP , marketing tools, and analytics platforms via APIs/ETL. ●Configure and tune Data Cloud features for performance and credit efficiency. ●Define and enforce data governance, quality, and compliance (GDPR, CCPA, HIPAA). ●Provide technical leadership and guide implementation partners. ●Collaborate with business and technical teams to ensure adoption and scalability. Required Skills: ●8+ years in data architecture; 3+ years Salesforce ecosystem experience. ●Hands-on with Salesforce Data Cloud and integration patterns. ●Strong SQL, data modeling, and performance tuning skills. ●Knowledge of ETL tools, APIs (REST/SOAP/GraphQL), and big data platforms. ●Familiar with Salesforce CRM, Marketing Cloud, Service Cloud, CRM Analytics. ●Understanding of data privacy/security regulations. ●Preferable certifications: Data Cloud Consultant, Application Architect, Integration Architect. Preferred: ●Experience with AI/Einstein Studio and predictive modeling. ●Exposure to Snowflake, BigQuery, Redshift.
Sr OCI Cloud Engineers (OCI + IaC + Performance Tuning) 8 - 12 yrs 1. Cloud Platform Knowledge- OCI Services: In-depth understanding of OCI core services like Compute, Networking, Storage, and Database services. High Availability and Disaster Recovery: Knowledge of building fault-tolerant architectures using OCI’s availability domains, regions, and backup services. 2. (IaC)- Terraform: Experience using Terraform for provisioning OCI resources in a repeatable and automated way. OCI CLI and SDKs: Proficiency with the OCI command-line interface and software development kits for automating tasks. 3. Performance Tuning and Cost Optimization Cost Management: Understanding of OCI cost management tools to monitor and optimize the infrastructure’s costs. Resource Optimization: Knowledge of how to scale cloud resources to optimize performance and reduce waste. 4. Certifications (Preferred but Not Required) This is a plus. Oracle Cloud Infrastructure Architect Associate or Professional: These certifications validate an engineer's expertise in managing and optimizing OCI resources. 11:00 am to 8 pm (Candidate has to be flexible, may require overlap with US business hours)
The ideal candidate for this role should have at least 5 to 7 years of experience, with a strong background in Workday Finance. As a Senior Integration Engineer, you will be responsible for designing and managing integrations with Workday. It is crucial to have proficiency in API development, EDI transactions, and Workday-related customizations. In addition to that, a solid understanding of integration platforms like Dell Boomi and experience with monitoring tools like Splunk and Datadog is highly preferred. Having certification in integration platforms or Workday tools would be considered a plus for this position.,
Gen AI(React +Node+) 6-8 Years Design and deliver AI-first product features such as contract summarization, semantic search, guided workflows, and benchmarking insights.Integrate and orchestrate LLMs (OpenAI, Anthropic, Mistral, etc.) into product workflows using frameworks like LangChain, LlamaIndex, or custom orchestration.Implement RAG pipelines and embedding-based search with vector databases (e.g., Pinecone, Weaviate, pgvector)Prototype and iterate rapidly, experimenting with prompts, models, and workflows to optimize user-facing outcomes.Contribute across the stack—Python for AI workflows, React + NestJS for seamless product integration 1 PM To 10 PM
As a Test Automation Engineer, you will be responsible for the following key aspects: - Utilizing your scripting skills in VB.Net/C# for test automation - Conducting Data-Driven Testing to ensure comprehensive test coverage - Applying Testing Methodologies such as Exploratory and Boundary Value Analysis - Utilizing API Testing Tools & Methodologies for testing APIs - Leveraging your experience with UiPath Test Suite versions (v2019+) for testing purposes - Applying your understanding of UiPath Workflows & RPA Concepts to enhance testing efficiency - Utilizing UiPath Orchestrator for test management and scheduling Qualifications required for this role include: - 7-12 years of relevant experience in software testing and test automation - Proficiency in scripting languages such as VB.Net/C# - Experience with Data-Driven Testing techniques - Familiarity with Testing Methodologies including Exploratory and Boundary Value Analysis - Hands-on experience with API Testing Tools & Methodologies - Knowledge of UiPath Test Suite versions (v2019+) and UiPath Workflows - Understanding of RPA Concepts,