Avaya Engineer-Tier 2 & Tier 3

We are looking for a dynamic and talented digital marketing candidate for our company

SC lines Shipping and Logistics Pvt ltd

LOCATION- Belapur, Navi Mumbai

Salary – 35000 to 40000

Experience – 2 to 4 years of experience in Digital Marketing

Required Skills -

Digital Marketing

Meta Marketing

Google Adson

LinkedIn Marketing

Youtube Marketing

Note – If the candidate is from shipping line would be an added advantage

GL, AR, Expenses. May need Cash Management if it becomes in scope.

Load Rapid Implementation spreadsheet, GL Allocations, Journal, AP, Expense approval workflow & SLA configs

POSITION SUMMARY:

Should have completed minimum TWO end-to-end Fusion Finance implementation, up-gradation, lift & shift and support projects experience,

  Experience in Oracle Cloud (Fusion) Financials Functional in GL, AP, AR, FA, Cash Management, FAH, Intercompany, Expenses Management, RMCS, Procurement modules,

  Should understand business requirements, fit-gap analysis, and preparation of functional design documents,

  Should be able to manage the Finance track independently, interact with clients, conduct business requirements and training sessions, etc,

  Should conduct CRP, UAT & SIT sessions with clients/stakeholders,

  Experience in implementing financials cloud, configuring workflows, issue resolution and customization across all finance modules,

  Solid understanding of Enterprises Structure, COA, Structure, and Hierarchies, Flex fields, extensions set up in Fusion Financials,

  Experience in working with Oracle support for various issue resolutions,

  Experience in various financial data upload/migration technique (FBDI & ADFDi) and related issue resolutions,

  Reporting (Financial Reporting Studio (FRS), SmartView, OTBI),

  Experience in supporting Period closure activities,

  Knowledge on tax (Withholding and Transaction tax) setups,

  Experience in reconciliation financial data between GL and Subledger modules,

  High-level Knowledge of end-to-end integrations of Financials modules with other modules like Projects/Procurement/SCM/HCM,

  High-level Knowledge of other fusion modules (SCM or PPM) functionality is a plus,

  Should have excellent communication and presentation, strong analytical and problem-solving skills.

  Qualifications

  Graduation from a reputed institute,

  CA/CWA/CA-Inter or MBA will be an added advantage,

  Oracle fusion certifications will be an added advantage,

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.

About Incresco:

At Incresco, we help startups and enterprises to build their MVP and for their digital transformation.

Job Description/ Responsibilities:

We are looking for a frontend developer who is well-versed in React /React Native/Next.js. You will be responsible for architecting and developing a web or mobile application. You will be joining a talented, collaborative team that is very passionate about solving this massive problem.

Below is a list of several skills required to deliver on responsibilities for this role:

• 0-1 years of experience in React /Next.js/ React native development
• Should be able to write reusable, testable, and efficient code. Should be able to design and implement low-latency, high-availability, and high-performance applications. Architect & design technically robust, flexible, and scalable solutions
• You should be able to build pixel-perfect, amazingly smooth UIs across both web and mobile platforms. Experience In building design system is an added advantage
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open-source community to encourage and help implement mission-critical software fixes
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax.
• Rock-solid at working with third-party dependencies and debugging dependency conflicts.
• Good to know GraphQL, AWS Appsync, Firebase, and offline storage

Benefits:
1. Competitive pay.
2. Flexible timing
3. Macbooks
4. Continuous learning and solving real challenges across the globe

Immediate joiners are preferred.

The role is about 70% support (aka reactive > keeping the customer happy) and 30% success (aka pro-active > helping the customer get success with LimeCall to stick and love us).

On the SUPPORT side, you’ll be doing things like… (80% of your day)

• Helping customers and potential customers on LIVE Chat (we use Intercom)
• Figuring out the “problem” the customer is having with our software. ("My text didn’t get sent, what happened?")
• Manage customer success pipeline (we use Hubspot)
• Relaying bugs to our development team to get taken care of (we use Jira)
• Creating user stories around customers wants, needs, issues (Asana)
• Using Stripe to process payments, refunds, and all things billing
• Create systems for tracking bugs, feature requests, and better ways to improve our support process and channel
• Create, edit, and continuously update our knowledge-base so our customers don’t have to bother you on how to do the simple things.
• Create videos and animated gif's that show people how to DO things (people love walk-throughs)

On the SUCCESS side, here are some things that you’ll be doing… (30% of your day)

• Host group & 1-on-1 demo’s, webinars, and training with leads and customers weekly and monthly
• Create surveys and google forms to gain feedback from current customers
• Reach out to “likely to churn” customers to help them get value from Salesmsg
• Engage with canceling customers and design a system for tracking for later followup.
• Speak with customers on the phone, text message, live chat, email, and other channels to help them with whatever questions they have.
• Onboard new customers

• Coordinate with the management to research, identify, analyse, and execute new business initiatives.
• Lead and manage large RFP responses to ensure corporate objectives for profitability, sustainability, and operational delivery objectives are meet
• Plan, execute and evaluate ROI of all BD initiatives to attract, retain and expand a loyal client base. Help businesses accelerate their social media presence by utilizing online tools to maximize brand visibility to develop strong relationships and engagement.
• Manage the project teams to achieve business goals.
• Work with the internal departments and external partners to execute business plans and strategies.
• Evaluate customer requirements and develop business plan to meet these requirements.
• Create business development strategies to increase the company revenue and brand value.
• Research the market trends to identify the customer demand for the proposed products and services.
• Communicates the strategy and tactical plans to the sales and marketing teams
• Develops financial plans for the year, including forecast, gross margins, direct expenses, contribution to operating income
• Reports out to management team on progress, financials, and business issues each month

Preferred Qualifications:

• MBA from a tier one institution
• Proven business leader with at least 4+ years of high-tech Strategic Partner Management, / Sales Operations
• Strong communications skills and proven track record of creating and delivering presentations to C and board level audiences (Microsoft Office, CRM

• Total Experience of 7-10 years and should be interested in teaching and research
• 3+ years’ experience in data engineering which includes data ingestion, preparation, provisioning, automated testing, and quality checks.
• 3+ Hands-on experience in Big Data cloud platforms like AWS and GCP, Data Lakes and Data Warehouses
• 3+ years of Big Data and Analytics Technologies. Experience in SQL, writing code in spark engine using python, scala or java Language. Experience in Spark, Scala
• Experience in designing, building, and maintaining ETL systems
• Experience in data pipeline and workflow management tools like Airflow
• Application Development background along with knowledge of Analytics libraries, opensource Natural Language Processing, statistical and big data computing libraries
• Familiarity with Visualization and Reporting Tools like Tableau, Kibana.
• Should be good at storytelling in Technology

Responsibilities:

• Responsible for managing all aspects of the inside sales department and business generation process. 
• Build a robust inside sales team that exceeds sales goals.
• Ensure that sales pipeline remains to the optimum with qualified leads & prospects. 
• Source sales opportunities through email campaigns, social media and inbound lead management.
• Conducting webinars, online product demos and presentations with prospects. 
• Look for opening up opportunities for product trials and POC’s
• Negotiation and final closure of the intended sale.
• Collect and decipher the key understanding of the client's requirements and how our various solutions can be implemented in the existing process flow to enhance and improve the same. 
• Team with new and potential channel partners and distribution channels in different markets.
• Report on Sales metrics including Conversion Ratios
• Research accounts, identify key players and generate interest
• Analyse competitive prices of products and features available in the market

• Excellent verbal and written communication skills - fluency in verbal and written English is an absolute must.
• Proven work experience as an Inside sales manager.
• Excellent interpersonal and team management skills.
• Both Offshore & Onshore experience.
• Passionate to learn more about Virtualization, Cloud, IT Infrastructure and new trends.
• Strong experience with corporate sales and dealing with corporates that require IT solutioning and products (SAAS products, Cloud Services, Technology solutioning).
• Strong experience working with channel partners and resellers. 
• Having an established track record of deal wins across various geographic regions and who can identify new targets and regions to grow the company’s sales footprint.
• Proficient in handling Digital marketing tools to help with SEO, SMM and DMM. 
• In-depth understanding of the sales administration process.
• Experience in handling tools like GCP, AWS, PPC, Azure, EDM, Webinars, Blogs, etc. will be an added advantage.