SarikaInteriors

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.