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Title: Technical Analyst - OTM

Experience: 3-9 Years

Work Location: Mohali

Shift Timing: Rotational Shift 24x5

Notice Period: Immediate to 30 days Max

Key Skills: OTM, OBIEE, BI Publisher, Oracle ERP

Job Description:

The Oracle Transportation Management Technical Analyst will share the responsibility for design, implementation, and support of business solutions based on Emerson’s instance of Oracle Transportation Management commonly referred to as SCO (Supply Chain Optimization). The Technical Analyst utilizes expertise in Oracle Transportation Management to provide assistance in the ongoing implementation, enhancement, and support of SCO functionality.

Roles and Responsibilities:

• Provide support (e.g., break/fix, how to expertise, enhancements, monitoring, testing, troubleshooting) for the SCO application.
• Works collaboratively with Corporate Logistics and SCO IT Program/Project Managers to understand program requirements and assist with the evaluation of alternative solutions.
• Assist with program rollout activities, including business unit and trading partner on-boarding, project coordination, status reporting and communication to program management.
• Proactively monitors processes to identify trends; analyses/predicts trends and develops a long-range plan designed to resolve problems and prevent them from recurring to ensure high service levels.
• Ensures SCO system documentation is complete and maintained.
• Works effectively in a global highly matrixed team environment.

Skills & Experience Required:

• 4 to 8 years of IT experience, including implementation of Oracle Transportation Management.
• OTM Expert, both Functionally and technically (Setup configuration, Order Management, Shipment management, Financials, rates, master data, bulk planning parameters, VPDs, user configuration, screen set development, SQL queries, Tracking Events and working with CSV & XML files).
• Hands on experience with triage of day-to-day OTM systems issues and providing resolution on complex issues.
• Knowledge of Logistics management principles and processes.
• Broad knowledge and experience with various ERP systems. Working knowledge of Oracle eBusiness Suite (Procurement, Shipping, XML Gateway) is highly preferred.
• Working knowledge of BI Publisher, FTI/OAC, OBIEE and ETL.
• Good knowledge of EDI and any other Middleware systems.
• Strong customer service orientation with strong written and verbal communication skills, including comfort with presenting to diverse technical and non-technical audiences at all levels of the organization.
• Ability to multi-task and work within diverse multi-disciplinary global project teams.
• Detail-oriented with strong problem-solving skills.
• Comfortable with performing detailed data analysis to identify opportunities and gain higher level insight.
• Knowledge on GTM (Global Trade Management) will be a plus.
• Some travel might be required.

Education

• Bachelor’s degree in computer science, Information Systems, or another related field.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Are you passionate about the clean energy transition and looking to build real-world experience at the intersection of energy, data, and technology?

1E9 Advisors is seeking motivated Energy Analyst Interns to join our team. We’re a technology company that delivers strategy and software solutions across industries, with deep expertise in energy markets, commodities, and risk management.

This internship is ideal for candidates who are analytical, detail-oriented, and eager to explore how battery storage and market optimization work in real-world settings.

Important Note: This position is not open to applicants who are currently enrolled in full-time degree programs. This internship is designed to transition into a full-time role for successful candidates, so we are seeking candidates who are available for immediate full-time employment upon completion of the internship.

What You’ll Work On:

• Analyze and interpret energy market data, including pricing, generation, and capacity
• Track evolving US electricity market rules and support policy analysis
• Assist in valuation and optimization models for battery energy storage
• Collaborate on internal product development and customer-facing insights

What We’re Looking For:

• Strong analytical and communication skills
• Proficiency in Python and/or Excel
• Interest in energy markets, clean technology, or battery storage
• Attention to detail and a proactive mindset

Preferred Skills:

• Understanding of US electricity markets
• Hands-on experience with battery storage valuation
• Effective written and verbal communication

What You’ll Gain:

• Practical exposure to energy markets and clean tech analytics
• Mentorship and hands-on project ownership
• Experience contributing to a production-grade software platform (BatteryOS)
• Potential pathway to a full-time opportunity

Job Title: Sr. QA Engineer

Location: Pune, Banner

Mode - Hybrid

Major Responsibilities:

• Understand product requirements and design test plans/ test cases.
• Collaborate with developers for discussing story design/ test cases/code walkthrough etc.
• Design automation strategy for regression test cases.
• Execute tests and collaborate with developers in case of issues.
• Review unit test coverage/ enhance existing unit test coverage
• Automate integration/end-to-end tests using Junit/ Mockito /Selenium/Cypress

Requirements: 

• Experience of web application testing/ test automation
• Good analytical skills
• Exposure to test design techniques
• Exposure to Agile Development methodology, Scrums
• Should be able to read and understand code.
• Review and understand unit test cases/ suggest additional unit-level coverage points.
• Exposure to multi-tier web application deployment/architecture (SpringBoot)
• Good exposure to SQL query language
• Exposure to Configuration management tool for code investigation - GitHub
• Exposure to Web Service / API testing
• Cucumber – use case-driven test automation
• System understanding, writing test cases from scratch, requirement analysis, thinking from a user perspective, test designing, and requirement analysis

Pls Contact to sairam.akirala

@

kiaraglobalservices.com

798

981 217 8

Skills and attributes for success

To qualify for the role, you must have

• Experience of minimum 2 years, CTC – 18LPA
• Ability to develop Deep Learning frameworks to solve problems.
• Design and create platforms for image processing and visualization.
• Knowledge of computer vision libraries.
• Understanding of dataflow programming.
• B.E. (E&TC /Computer / IT / Mechanical / Electronics)
• C++, video analytics, CUDA, Deepstream

The opportunity

We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.

Some of your responsibilities will include:

• Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
• Take ownership to drive computer vision solutions and meet customer requirements.
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
• Developing data handling and machine learning pipelines for training
• In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection
• Implementing algorithms in robust, efficient, and well-tested code.

Job Description for IBM MDM Developer:

Role: IBM MDM Developer

Location: Pune

Experience – 5-9 Years

Notice Period: Under 60 days

JD for IBM MDM developer: 

• Experience in customizing IBM MDM version 11.4 or above versions. 11.6/Advance Edition is preferred version.
• Experience with IBM MDM Customization includes Extension, Addition, Business proxies, SDP, Match-Merge Rules, Event Manager, Notification Framework - Exposure to MDM Information Domains (Party, Contract, Product, Location etc.)
• Good experience in Java with RSA/ RAD IDE, SOAP Web Services/rest web service, XML, XSD, WSDL.
• Good experience in SQL preferably with Oracle DB.
• Basic knowledge of Unix
• Should be able to work as Independent team member
• Good communication skills.
• Good to have knowledge on OpenShift, Mulesoft or Camel