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- Should have Worked extensively on SAP developments including the Application Design and Document for Custom development, in end to end SAP Implementation.
- Preparation of Technical Spec and Unit Test documents .
- Hands on experience and extensive knowledge on RICEF (Reports , ALE/IDOC, BDC ,Userexit /Enhancements , Script )
- Extensively worked on Data Dictionary objects (tables, structures, data elements and domains)
- Basic Knowledge on ABAP Workflow .
- Knowledge on BADI , User Exits ,BDC recording.
- Performance workbench tools like Runtime Analysis and SQL trace.
- Having good exposure to functional areas like Sales Distribution (SD), Material Management (MM) .
- Should have good analytical skills and ability to quickly grasp customer requirements and convert them into Technical specifications
What You Will Do
- Acquisition strategy: Identify and strategise the next set of cohorts and channels that we need to unlock. This is going to set the roadmap of the pod and effectively unlock new opportunities for activation improvements
- Drive Initiatives: Liaise with internal team members and also with Product, Analytics, Creatives, etc., to drive solutions, scale-up, and achieve efficiency improvement in performance campaigns
- Performance Management: Identify issues which impact CPI and incoming user quality and RCA
- Strong understanding of data - we are a data driven organization, and measure outcomes closely through internal metrics. You will be working closely with the Analytics team across problem discovery, solutioning, execution and measurement
What Will You Need
- Bachelor's / MBA degree in any discipline from a top-tier college – MBA is preferable
- 5+ years of experience in performance marketing strategy / Growth in a high-growth startup, or strategy consulting firm
- Structured problem-solving with good communication skills
- Data-driven with good Excel skills. Proven ability to take up high ownership
- Ability to collaborate with internal and external stakeholders (within the company)
- Enthusiastic about learning new skills and solving challenging problems
Job Summary:
We are seeking an experienced Tableau Server Administrator to manage, maintain, and optimize our multi-node, on-premise Tableau Server environment. The ideal candidate will have strong expertise in Tableau Server architecture, installation, upgrades, and troubleshooting, as well as ensuring its scalability, performance, and security. This role will also involve collaboration with business intelligence teams to support Tableau dashboards and workflows.
Key Responsibilities:
Tableau Server Installation & Configuration:
- Manage multi-node, on-premise Tableau Server deployment and configuration.
- Install and upgrade Tableau Server across environments (Development, QA, Production).
- Configure and maintain Tableau Server processes, services, and configurations for optimal performance.
Performance Monitoring & Optimization:
- Monitor server performance, disk space, and log files to ensure availability and efficiency.
- Conduct capacity planning and fine-tune server resources (e.g., CPU, RAM, and disk utilization) to support increasing workloads.
- Optimize Tableau extracts, data connections, and server processes for improved speed and efficiency.
User Management & Security:
- Manage user accounts, groups, roles, and permissions in Tableau Server.
- Implement and enforce security protocols for data, content, and access controls.
- Collaborate with IT teams to ensure compliance with organizational security policies.
Troubleshooting & Issue Resolution:
- Diagnose and resolve Tableau Server-related issues, including downtime, errors, and performance bottlenecks.
- Work with Tableau Support to address critical incidents and escalations.
Automation & Scripting:
- Automate administrative tasks using Tableau Server Command Line (tabcmd) and REST APIs.
- Schedule and monitor Tableau extract refreshes, subscriptions, and workflows.
Collaboration with Stakeholders:
- Work closely with BI developers, data engineers, and analysts to support Tableau content publishing and troubleshooting.
- Assist in creating governance standards for Tableau content and server usage.
Data Connectivity & Integration:
- Maintain and troubleshoot Tableau Server connections to various data sources, such as SQL databases, flat files, and APIs.
- Collaborate with data teams to ensure high availability and data accuracy.
Upgrades, Patches & Backups:
- Plan and execute Tableau Server upgrades, patches, and backups with minimal disruption to operations.
- Implement disaster recovery plans and strategies for Tableau Server.
Documentation & Reporting:
- Maintain detailed documentation for server configurations, upgrade logs, and processes.
- Create usage reports, server activity logs, and audit trails for stakeholders.
Required Skills & Qualifications:
Technical Expertise:
- Strong experience with Tableau Server administration in a multi-node, on-premise environment.
- Proficiency in Tableau Desktop, Tableau Prep, and Tableau Server tools (tabcmd, TSM, REST API).
- Knowledge of Windows Server/Linux administration and networking concepts.
- Familiarity with scripting languages (Python, PowerShell, or Bash) for automation.
Database & Data Integration Skills:
- Experience with relational databases like SQL Server, PostgreSQL, Oracle, or MySQL.
- Knowledge of data extraction, ETL processes, and integrating Tableau with enterprise data sources.
Performance Tuning:
- Expertise in optimizing Tableau extracts, dashboards, and server configurations for high performance.
Problem-Solving Skills:
- Ability to troubleshoot server issues and resolve them efficiently.
Soft Skills:
- Excellent communication and collaboration skills.
- Strong organizational skills with attention to detail.
Preferred Qualifications:
- Tableau Server Certified Associate or Certified Professional certification.
- Experience managing Tableau in high-availability and disaster recovery scenarios.
- Familiarity with Tableau Cloud or hybrid Tableau environments.
- Knowledge of load balancing, SSL certificate configuration, and Active Directory integration.
Benefits:
- Competitive salary and performance-based incentives.
- Opportunities for professional development and Tableau certifications.
- Flexible working hours and hybrid working options (if applicable).
- Access to cutting-edge BI tools and resources.
About Digit88
Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner!
We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners.
With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best.
The Vision: To be the most trusted technology partner to innovative software product companies world-wide
The Opportunity:
As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the
As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.
As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
- Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
- Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
- Lead design of experiments and hypothesis tests related to machine learning product features development.
- Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
- Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
- Monitor and analyze machine learning model performance and data accuracy.
- Mentor junior staff members.
- Stay current with best practices in data science, machine learning and AI.
Who You Are
- 3-5 years of experience building and deploying machine learning models
- Master’s or PHD in statistics, mathematics, computer science or another quantitative field
- Strong problem solving skills with emphasis on product development.
- Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
- Experience with SQL and relational databases for data extraction and manipulation.
- Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques
- Passionate about being up-to-date with the latest developments in Machine Learning
- Strong organizational, time management, and communication skills
- High degree of accountability
- Utility, Infrastructure or Energy related field experience is a plus
Benefits/Culture @ Digit88:
- Comprehensive Insurance (Life, Health, Accident)
- Flexible Work Model
- Accelerated learning & non-linear growth
- Flat organisation structure driven by ownership and accountability.
- Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world.
- Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies
- Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more.
You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges.
This is the right time to join us and partner in our growth!
- Deep knowledge and working experience in any of Adobe Marketo or Hybris Marketing or Emarsys platforms with end to end hands-on implementation and integration experience including integration tools
- Other platforms of interest include Adobe Campaign Emarsys Pardot Salesforce Marketing Cloud and Eloqua
- Hybris Marketing or Adobe Marketo Certification strongly preferred
- Experience in evaluating different marketing platforms (e.g. Salesforce SFMC versus Adobe Marketo versus Adobe Marketing)
- Experience in design and setup of Marketing Technology Architecture
- Proficient in scripting and experience with HTML XML CSS JavaScript etc.
- Experience with triggering campaigns via API calls
- Responsible for the detailed design of technical solutions POV on marketing solutions Proof-of-Concepts (POC) prototyping and documentation of the technical design
- Collaborate with Onshore team in tailoring solutions that meets business needs using agile/iterative development process
- Perform feasibility analysis for the marketing solution that meet the business goals
- Experience with client discovery workshops and technical solutions presentations
- Excellent communication skills required as this is a client business & IT interfacing role
What you will do:
- Assisting in talent acquisition and recruitment processes
- Conducting employee onboarding and helping organize training and development initiatives
- Providing support to employees in various HR-related topics such as leaves and compensation and resolving any issues that may arise
- Promoting HR programs to create an efficient and conflict-free workplace
- Assisting in development and implementation of human resource policies
- Gathering and analysing data with useful HR metrics, like time to hire and employee turnover rates
- Enhancing job satisfaction by resolving issues promptly, applying new perks and benefits and organizing team building activities
Desired Candidate Profile
What you need to have:- Proven experience as an HR Generalist
- Understanding of general human resources policies and procedures
- Outstanding knowledge of MS Office
- Excellent communication and people skills
- Aptitude in problem-solving
- Ability to work comfortably under pressure and meets tight deadlines
- Desire to work as a team with a result driven approach
- Additional HR training will be a plus
Managing Engineering team members , inclusive of Development and Quality Assurance teams
and driving new features and functionality to the Interactions Artificial Intelligence Platform
offerings.
Technically hands on and contributing to the creation of a massively scalable, highly available
SaaS/ PaaS platforms
Be a technical team lead, in addition to people manager, managing and ensuring success of
technical teams
Provide a clear vision for the team to act on and ensure team members are performing at the
needed level to successfully execute goals.
Effectively manage multiple projects, timelines and initiatives at the same time.
Experience working with all phases of the Software Development Lifecycle – ranging from
architecture and design to implementation and testing.
Troubleshooting and fixing issues
Excellent oral and written communication skills and ability to effectively communicating within
and outside the team
Bring new technical ideas to fruition by prototyping new ideas and transforming research Proof
of Concepts into production ready software
Responsible for hiring and managing a talented team to design, build and ship next generation
products
Ability to travel – upwards of 20%
Required Skills & Experience:
10+ years of engineering experience working on systems/algorithm-level programming in
Java/Python
Experience with SQL and/or NOSQL databases
Experience working on products based on a distributed architecture deployed in multiple geo-
redundant CoLo/Cloud data centres.
3+ years of experience managing, growing and building Dev and QA teams.
Ability to operate in a highly ambiguous, rapidly evolving agile environment.
Leading strong technical teams with a maniacal focus on reliability and scalability
Hands-on manager who can also contribute in code
Knowledge of Linux operating system fundamentals
Experience working with the agile development methodology
Experience working in a fast paced environment
Experience building complex backend products like Speech Recognition Engines, Databases, etc.
Bachelors or Master’s degree in Computer Science or equivalent qualification
Desired Skils (Good to have):
Prior experience with NLP/voice technologies.
Prior experience with AI and machine learning technologies just as tensorflow, pytorch, and
scikit-learn.
Experience building real-time conversational systems leveraging SIP, webRTC, websockets, or
XMPP
Experience with profiling and troubleshooting large scale, concurrent and multi-threaded JVM
based languages (Java)
Experience with asynchronous, event driven architectures
Supervisory Responsibility:
This role will manage a group of developers as well as QA Engineers
Share resume to riya cielhr
CommerceIQ is Hiring Data Scientist (3-5 yrs)
At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.
Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.
What You’ll Be Doing
As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.
- Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
- Work on data science roadmap and build the core engine of our flagship CommerceIQ product
- Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept
- Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
- Work with large scale ecommerce data of the biggest brands on amazon
- Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
- Drive productization of techniques to be made available to a wide range of customers
- You would be working with and mentoring fellow team members on the owned charter
What we are looking for -
- Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers
- Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
- Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
- Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
- Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
- Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact
- We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
- Data scientist, Machine Learning, data science, data analyst
Job Type: Full-time
Experience:
- Data Scientist: 3 years (Required)
Application Question:
- Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)
- Own and implement features used by large customers like Truecaller, Mozilla, Zomato, Netflix, etc.
- Performance, Security and Usability goals are in DNA.
- Full ownership and accountability of Microservices which includes day-to-day operations and maintenance.
- Business and technical Metric definitions and reviews.
- Drive CI & CD Evaluate technologies and development stacks for API-based platform which scales to 100,000 transactions per second.
- Perform push-button deployments of any version of the software to any environment on demand.
- Design and build web apps that are scalable and puts user experience front and center.
- Develop modular UI components for company-wide reuse.
- Evolve a common design language for UI across apps.
- Establish and advocate front-end coding guidelines.
- Meld UX and great-looking UI while keeping excellent code quality.
- Own end-to-end life cycle of the product from requirement analysis, design, development, test, release, and maintenance.
- Develop reusable tools/libraries
- Identify opportunities for automation and collaboration points.
- Continuously improve cycle time, throughput, and code quality.
- Continuously improve value-adding-activities/non-value-adding activities ratio.
Skills Required::
- 4 - 6 years of experience in large-scale distributed systems.
- Proficient in Python/Golang/Java/ http://node.js/">Node.js
- Understanding of CSS, Advanced Javascript, http://vue.js/">Vue.js, http://react.js/">React.js, and other web technologies.
- Understanding of Rest based API Architecture
- Writing high-performance, reliable and maintainable code.
- Excellent microservices pattern understanding.
- Ability to define cross-core contracts and bring them to closure through collaboration.
- Good knowledge of database structures, theories, principles, and practices.
- Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].
- Analytical and problem-solving skills
- Good aptitude in multi-threading and concurrency concepts.
- Working knowledge of Git and proficiency with at least one build server: Jenkins/Travis/Bamboo.
- Good to have a telecom background



