Strategy Manager

• Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.
• Can drive multiple projects both from operational and technical standpoint.
• Ideate and build PoV or PoC for new product that can help drive more business.
• Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.
• Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.
• Lead architecture discussions, align with business needs, security, and best practices.
• Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
• Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
• Understanding of Medallion architecture pattern
• Has worked on at least one cloud platform.
• Has worked as data architect and executed multiple end-end data engineering project.
• Has extensive knowledge of different data architecture designs and data modelling concepts.
• Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.

Required Tech Stack

• Strong proficiency in SQL
• Experience working on any of the three major cloud platforms i.e., AWS/Azure/GCP
• Working knowledge of an ETL and/or orchestration tools like IICS, Talend, Matillion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc.
• Working knowledge of one or more OLTP databases (Postgres, MySQL, SQL Server, etc.)
• Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Azure Synapse, Hive, Big Query, etc.
• Proficient in at least one programming language used in data engineering, such as Python (or Scala/Rust/Java)
• Has strong execution knowledge of Data Modeling (star schema, snowflake schema, fact vs dimension tables)
• Proficient in Spark and related applications like Databricks, GCP DataProc, AWS Glue, EMR, etc.
• Has worked on Kafka and real-time streaming.
• Has strong execution knowledge of data architecture design patterns (lambda vs kappa architecture, data harmonization, customer data platforms, etc.)
• Has worked on code and SQL query optimization.
• Strong knowledge of version control systems like Git to manage source code repositories and designing CI/CD pipelines for continuous delivery.
• Has worked on data and networking security (RBAC, secret management, key vaults, vnets, subnets, certificates)

This role requires a self-motivated leader with direct Product Management experience delivering Solutions around MS Teams Telephony. Candidate must have a keen sense of the overall UCC market, competitive awareness of the India Unified Communications and Collaboration solutions market and provide critical strategic direction related to India Domestic and Global UC objectives.

The Candidate will be responsible for the India UCaaS/MCS objectives and targets. Also, responsible for Product Life cycle management that involves Envisage, Concept, Framework, Partnerships, Process, Engineering validation, Documentation, GTM etc.

the other responsibility involves Pricing, Bundling, Enablement through Trainings, Adoption and Growth strategy that plugs into our entire UCaaS/MCS portfolio. Critical to success will be identifying Enterprise and Partner offers, migrating customers to the next generation UCC platform with Regulatory compliance, differentiated solution capabilities ensuring that lifecycle management and improving adoption services.

The Product Manager will champion and execute across cross-functional teams and drive solution enablement discussions with Sales, Solutions, Engineering, Service Assurance, Operations, Technology & Service Development teams. The successful candidate will be setting objectives and delivering results that have a significant impact on product adoption.

The Product Manager will champion projects through the Tata Communications New Product Introduction/Agile Development process and lead the UCaaS/MCS Workstream that is accountable for the delivery and customer acceptance of the solutions.

The Global Product Manager will be fully responsible for the Annual Operating Plan (AOP), P&L and CAPEX/OPEX of all UCaaS/MCS business initiatives and programs. Key focus will be on Gross and Net Revenue contribution and growth targets that are assigned to the UCaaS/MCS portfolio.

A leading College at Coimbatore requires Male/ Female candidates for the post of Lecturer

Passionate, result-oriented Lecturer with good technical skills to coach the technical team. Strong Technical Expert across Web/Mobile Application Development.

Required Candidate profile

The person who is interested in Teaching

Communicate with Management to understand their training needs and ensure training programs align with organizational goals.

Strong Communication skills.

What you need to have:

Qualifications and Background

• 3-5+ years of experience working on Salesforce platforms
• At least one year of experience working directly with North Americas and European clients
• At least two Salesforce certification
• Salesforce Certified JavaScript Developer I
• Salesforce Certified Platform App Builder
• Salesforce Certified Platform Developer I/II
• Salesforce.com Certified Administrator
• Bachelors/Postgraduate degree, professional qualification, or relevant experience.
• Knowledge, Skills, and Abilities
• Domain expertise: have a good technical understanding of the Salesforce Sales and Service Cloud and how business stakeholders use the product.
• General knowledge of technical concepts, strategies, and methodologies, including architectural and security concepts, systems development life cycle, information management, and portfolio management (production systems, release planning, change management).
• Proficient with Salesforce Lightning Design System and the Salesforce development lifecycle.
• Software engineering skills with Force.com Platform (Apex, LWC, SOQL, Unit Testing)
• Experience in core web technologies including HTML5, JavaScript and CSS
• Demonstrated experience with relational databases, data modelling, and ETL tools
• Experience with Services Oriented Design Principles (SOA) and Web Services (REST & SOAP, JSON & XML)
• Experience with Agile development methodologies such as SCRUM
• Experience with complex business systems integration as well as object-oriented design patterns and
• development
• Stakeholder management: experience in managing relationships with business stakeholders; a proven ability
• to work with and influence cross-functional teams, ensuring close collaboration with development teams, is
• especially important.
• Excellent organizational, verbal and written communication skills
• Key Responsibilities
• Client Interaction
• You will be required to be available for project and client interactions during UK business hours.
• Meet with clients to determine business, functional and technical requirements and participate in

application design, configuration, testing, and deployment

• Participate in the sales cycle as needed (solution definition, pre-sales, estimating and project planning) o Work cross-functionally with Revenue Operations, Sales Finance, Engineering, and other key stakeholders within the client organisation.
• Gather, analyse and document functional and technical requirements for new projects, enhancements to existing solutions and production issues reported by end-users
• Leadcustomer-driven solutions utilizing strong technical design skills and strong working relationships

with internal groups

• Guide users in formulating requirements, advise on alternatives and on the implications of new or

revised processing analysis.

• Translate business requirements into well-architected solutions that best leverage the Salesforce

platform and products • Technical development

• Setupdevelopmentenvironmentsontheirownandcommunicatedevelopmentprogresstotheclient and senior management.
• Build Salesforce applications using Apex and Visualforce and leverage the full capabilities of the Salesforce platform.
• Implement and maintain Salesforce customizations such as custom fields and objects, layouts, controller extensions, triggers, workflows, process builders, and validation rules
• Develop, test, and document working custom development, integrations, and data migration elements of a Salesforce implementation
• Createandexecuteunit,integration,anduseracceptancetestplans,includingusecasesandtestdata o Ensure service level availability of the Force.com platform and integration applications and provide

on-call support for break/fix/enhancement activities to resolve application issues. • Research and best practices

• Follow and understand Salesforce product and technical capabilities resulting from product releases and acquisitions
• Utilize best practices to perform operational support, enhancements, bug fixes as needed to the Salesforce.com platform
• Apply best practices and design patterns of best-of-breed applications developed on the Salesforce. com platform
• Assist with the planning of application changes, development, and installation of upgrades and new releases.

• Design AWS data ingestion frameworks and pipelines based on the specific needs driven by the Product Owners and user stories…
• Experience building Data Lake using AWS and Hands-on experience in S3, EKS, ECS, AWS Glue, AWS KMS, AWS Firehose, EMR
• Experience Apache Spark Programming with Databricks
• Experience working on NoSQL Databases such as Cassandra, HBase, and Elastic Search
• Hands on experience with leveraging CI/CD to rapidly build & test application code
• Expertise in Data governance and Data Quality
• Experience working with PCI Data and working with data scientists is a plus
• At least 4+ years of experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS
• 5+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility