MUST HAVE Experience- 4 years to 8 years of total IT Experience • In-depth technical knowledge of tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS etc. • Experience in collaborating with business stakeholders to identify and meet data requirements • Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources • Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration and data management • Implemented batch & near real time data ingestion pipelines • Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc. • Excellent written and oral communication skills GOOD TO HAVE • Proven ability to work with large cross functional teams with good communication skills. • Experience on Cloud migration methodologies and processes • Azure Certified Data Engineer • Exposure to Azure Dev ops and Github • Ability to drive customer calls independently • Ability to take ownership and work with team Show more Show less

Role description JD For Cognos L2 Support Engineer -AEO Report Support Job Title: Report Support Analyst / Consultant Job Summary: Candidate will be responsible for troubleshooting, resolving, developing and preventing technical issues related to our business-critical Reports and Job triggers. This includes identifying and resolving issues with IBM Cognos, SQL, Tableau and GCP technologies. The role requires the ability to reverse engineer, report issues to their source and work with users to understand their needs and requests. The Report Support Analyst / Consultant will be responsible for monitoring data pipeline and job triggers to ensure Reports meet SLAs and proactively communicate with users about any issues or delays and work on Key Responsibilities: Troubleshoot, resolve, and prevent technical issues related to our business-critical Reports and Job triggers. Reverse engineers report issues to their source and work with business users to understand their needs and requests. Monitor data pipeline and job triggers to ensure they meet SLAs and proactively communicate with users about any issues or delays. Work with IBM Cognos – Framework models Transformer and Dynamic Cube, Tableau , SQL, and GCP technologies to identify and resolve issues. Manage Jira tickets and ensure they are completed within SLAs. Provide timely and frequent status updates on issues and tickets until they are resolved. Communicate effectively with users and team members to ensure that issues are understood and resolved. Development of Cognos and Tableau reports based on Business Requirements Requirements: Experience with IBM Cognos, SQL, Tableau and GCP / related technologies. Strong problem-solving skills and attention to detail. Excellent communication skills, both written and verbal. Ability to do multi tasks Experience working with Jira or other similar ticket management systems. Understanding of SLAs and ability to work under pressure. Show more Show less

Role description About the Role: We are looking for a dynamic and tech-savvy Pre-Sales Consultant with exceptional deck creation & storytelling skills . You’ll work closely with Sales, Product, and Delivery teams to understand client needs, shape GenAI-powered solutions, and present them in compelling business terms to enterprise clients. Key Responsibilities: Design and present GenAI use cases like document summarization, knowledge assistants, intelligent search, and content generation. Build high-impact decks and demos to communicate value propositions clearly to both technical and non-technical audiences. Collaborate with Data Scientists, Engineers, and Product Managers to scope solutions and create proposal responses (RFPs/RFIs). Stay updated on the latest LLMs, APIs, and tools like OpenAI, LangChain, Anthropic, Hugging Face, etc. Conduct proof of concept (POC) discussions and map customer problems to GenAI capabilities. Support go-to-market initiatives, GenAI workshops, and client enablement programs. Required Qualifications: 5–10 years of experience in Pre-Sales / Solution Consulting / AI Product roles Strong understanding of LLMs, RAG architecture, vector databases, and prompt engineering Demonstrated experience with AI/ML use cases , ideally in NLP/GenAI space Proven ability to create visually compelling decks and pitch narratives using PowerPoint, Canva, or equivalent tools Excellent client-facing communication and presentation skills Experience working with cross-functional teams and influencing C-level stakeholders Show more Show less

Role description Python and Should have strong grip on both the language Hands on with Fast API, Apache Spark, React JS, Node JS, Server-Side JS. 4-5 years Developing Software's using a wide range of Amazon Web Services and Cloud Technologies. Professional hands-on development experience and expert in JavaScript frameworks like Dojo, jQuery, Ember React, Angular or equivalent. Hands on with JavaScript Object based model and programming, ECMAScript 6, TypeScript 4 & NPM Expertise with Python and Python frameworks like FastAPI, Django, Flask, Celery, SQLAlchemy Hands on with S3, Lambda, AwsGlue, Fargate, SQS, SNS, Eventbridge Hands on with Containers, Docker, Kubernetes, ECS, EKS, EC2 Hand on with PostgreSQL, AWS Redshift, Oracle, NoSQL, Mongo Build Automation with GitHub Actions, Jenkins, Shell Script Show more Show less

Director, Product Management - Data Science Domain Position Summary: We are looking for a strategic, hands-on Senior ‘Product Manager’ to join one of our strategic accounts. In this role, you will shape and execute product strategy, lead product launches, and enhance existing programs to align with evolving market trends. You will work closely with cross-functional teams to drive go-to-market success, support business growth, and deliver value to clients, consumers, stakeholders, and learners. This role requires a blend of business acumen, technical understanding, and customer empathy to enhance, create products that delight our global customer base. Responsibilities: Shape the future of our products by defining a long-term strategy and setting quarterly goals that align with our overall vision. Lead the way from concept to launch with a strong go-to-market approach. Own the product journey from start to finish, keeping it aligned with industry trends and ensuring seamless coordination across teams for successful rollouts. Dig into market insights to uncover new opportunities and guide smart, data-driven product decisions. Keep an eye on profitability and rely on analytical thinking for key choices. Step up with an ownership mindset, ready to face challenges head-on in a fast-moving business landscape. Be the voice of the product, clearly articulate strategy, and vision in discussions with university partners and internal teams. Champion continuous improvement, always looking for ways to streamline, boost productivity, and enhance efficiency across stakeholders. Maintain high standards, ensuring everything aligns with company policies, procedures, and quality expectations - while promoting best practices in product management. Create a culture of excellence, where accountability, innovation, and collaboration thrive within the team. Collaborating with teams, stakeholders, and streamlining the Product Management processes for multiple Products/AI Applications/ System Development Qualifications: 15 to 22 years of total IT experience working in an agile-driven environment for enterprise projects/products. 6 - 8 years of product management and implementation exp. preferably client-facing roles, product development, IT consulting environments Mandatory: Data Analytics/BI/Data Science/Cloud computing domain expertise Optional: Product development, Program, Project, Agile(CSPO/PSPO) or/and related Certification Good in JIRA, MS - ADO, Confluence, Miro, SharePoint, Rally, Miro, MS-TFS, MS Excel, and Wiki tools etc. Proven track record in design thinking and systems thinking - exceptionally good verbal and written communication skills. Strong Customer empathy and business first thinking - problem-solving skills and detail orientation. Highly analytical, with a keen interest in metrics, trends, and user behavior Strong cross-functional collaboration and stakeholder management skills. Ability to thrive in a dynamic and rapidly changing environment, with a passion for technology and innovation. Exceptional communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence stakeholders at all levels of the organization. Strong problem-solving and decision-making abilities, with a focus on driving results and delivering high-quality solutions. Excellent organizational skills, with the ability to prioritize tasks, lead multiple products(s) simultaneously, and adapt to changing priorities in a demanding environment. Show more Show less

In this role, you will be engaging with Banking and Financial sector, leaders across the globe to define the need for banks solutions which involves requirement understanding, brainstorming on solutions, process design, delivering the solutions and maintaining it. You will be working with an extremely resourceful and talented team of Analysts & Senior Analysts at Tredence with primary focus on growing the relationship with the client on one hand, while leading/working with the delivery team to ensure high quality deliverables on a day-to-day basis. You should have a complete command over the project status and lead the team by example. 1. Analytical mindset to be able to leverage data to build relevant solutions 2. Technical architect, who would be able to build sustainable and scalable and client-self-serve solutions 3. Leverage expertise in Banking and financial sector data, including credit card data, retail Bank data and commercial bank to provide effective solutions. 4. Develop actionable insights dashboards on Tableau/Power BI or on similar platforms. 5. Use advanced analytics such as segmentation/clustering, propensity models to drive growth throughout the customer lifecycle. 6. Work independently and Lead team of data analyst, fostering innovation and excellence. Must-Have Skills: 1. 6-9 years of professional experience in Analytics, showcasing demonstrated expertise analytical projects for Banking and Financial clients. 2. Mandatory programming skills in SQL, Python, and PySpark 3. Must have hands on experience of data visualization tools like Tableau and PowerBI to craft insightful visual reports and dashboards. 4. Basic knowledge on machine learning domains such as regression, classification 5. Exceptional problem-solving, organizational, and project management capabilities to navigate complex projects effectively. 6. Attention to Detail- Strong attention to detail with the ability to manage multiple tasks and priorities in a fast-paced environment. 7. Communication Skills: Excellent verbal and written communication skills, with the ability to present data and recommendations clearly to stakeholders at all levels. 8. Experience in leading a 3-4 members team of Business Analyst and Data Analyst on analytical projects Show more Show less

Role description 1. Must have IT PMO experience, good at MS Suite, exposed to basic finance concepts. 2. Should have experience in central operations - client timesheet closure/compliance, deriving monthly invoice inputs. 3. Revenue Estimations & Forecasting. 4. Highly collaborative, good at stakeholder management, drive cross functional alignments etc.. Show more Show less

About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 1,800-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 10 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. ·Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base. ·Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in Kolkata and a few tier 2 cities in India. In 2023, we also plan to hire more than 1000 employees across markets. ·Tredence is a Great Place to Work (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance. · At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible This position requires someone with good problem solving, business understanding and client presence. Overall professional experience of the candidate should be atleast 5 years with a maximum experience upto 15 years. The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams. Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects. Role Description: ● Developing Modern Data Warehouse solutions using Databricks and Azure Stack ● Ability to provide solutions that are forward-thinking in data engineering and analytics space ● Collaborate with DW/BI leads to understand new ETL pipeline development requirements. ● Triage issues to find gaps in existing pipelines and fix the issues ● Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs ● Drive technical discussion with client architect and team members ● Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications: ● Bachelor's and/or master’s degree in computer science or equivalent experience. ● Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture ● Should have hands-on experience in SQL, Python and Spark (PySpark) ● Experience in building ETL / data warehouse transformation processes ● Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot ● Databricks Certified Data Engineer Associate/Professional Certification (Desirable). ● Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects ● Should have experience working in Agile methodology ● Strong verbal and written communication skills. ● Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake. Job Location - Bangalore, Chennai, Gurgaon, Pune, Kolkata Experience Level - Data Engineer ( 4 to 5.5 years ) Senior Data Engineer ( 6 to 8 years ) , Lead Data Engineer ( 9 to 12 years ) , Senior Architect ( 12 + Years ) Expected Joining Time - Immediate to 30 days Show more Show less

Job Location- Kolkata (Hybrid) Experience Level - 5+ Years Mandatory Skills -Azure Databricks +SQL +Pyspark Primary Roles and Responsibilities : Developing Modern Data Warehouse solutions using Databricks and Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications : Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 5+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Deep understanding of Star and Snowflake dimensional modelling. Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL , Python and Spark (PySpark) Candidate must have experience in Azure stack Desirable to have ETL with batch and streaming (Kinesis). Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Show more Show less

Role - Data Scientist / Senior Data Scientist / Data Science Manager / Data Science Senior manager / Data Science Architect Location - Kolkata/ Bangalore/ Hyderabad/ Pune/ Chennai/ Gurgaon Work Mode- Hybrid Interview Mode - F2F (Kolkata candidates) & Virtual (only for out station candidates) Specification - Classical ML / Genai Qualification: • Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. • 3+ years of experience in data science, building hands-on ML models/ Genai Models • Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) • Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning • Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models • Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. • Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. • Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. • Advanced SQL skills with SQL Server and Spark experience. • Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks • Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. • Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment • Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred • Experience with cloud platforms such as Azure, AWS is preferred but not required. Show more Show less

Roles and Responsibilities: As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. • Engage with clients to understand current and future business goals and translate business problems into analytical frameworks • Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs • Create repeatable, interpretable and scalable models • Effectively communicate the analytics approach and insights to a larger business audience • Collaborate with team members, peers and leadership at Tredence and client companies Qualification: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 5+ years of experience in data science, building hands-on ML models Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not required. Show more Show less

We are seeking a dynamic and experienced Life Sciences - Pre-Sales Specialist to join our team. This role focuses on supporting sales initiatives in the pharmaceutical, biotechnology, and medical device sectors, specifically targeting commercial analytics and R&D . You will play a critical role in establishing credibility for Tredence as an industry subject matter expert. This position combines technical expertise, deep industry knowledge, and exceptional communication skills to bridge the gap between customer needs and our solutions. Key Responsibilities: Solution Discovery & Qualification: Support account team and partner sales to conduct detailed discovery sessions to understand client requirements and pain points. Product Demonstrations & Value Articulation: Deliver compelling solution demonstrations that showcase the value of analytics, AI/ML, and data-driven insights in addressing life sciences commercial challenges. Develop and present customized proposals, Proof of Concept (PoC) plans, and solution roadmaps based on client-specific requirements. Advise and help build solution accelerators that address market needs. Technical & Industry Expertise: Leverage domain expertise in life sciences position relevant solutions, including data engineering, advanced analytics, and AI capabilities (e.g., in-silico drug discovery or omnichannel optimization). Stay updated on industry trends, regulatory changes, and competitive landscapes to enhance solution offerings and market relevance. Stakeholder Engagement: Collaborate with cross-functional teams, including data engineering, data science, and marketing teams, to align on solution approach and positioning Serve as a trusted advisor to prospective clients, building relationships with key stakeholders (e.g., brand managers, commercial excellence leaders, data science heads). Proposal Development & Support: Assist in RFP responses, ensuring proposals reflect a deep understanding of life sciences use cases. Create technical documentation, whitepapers, client success stories and other marketing materials to support the sales process. Create SOWs and funding requests from technology partners. Required Skills and Experience: Domain Expertise: Strong understanding of life sciences commercial operations, including brand management, salesforce optimization, market access, and marketing analytics. Strong understanding of life sciences R&D including drug discovery, clinical research and real-world evidence. Technical Proficiency: Experience with data platforms, analytics tools (e.g., Databricks, Snowflake, Tableau, Power BI), AI/ML solutions, and CRM systems in life sciences use cases. Ability to design, explain, and communicate complex data architectures and analytics solutions. Communication & Sales Skills: Excellent communication and presentation skills with the ability to convey technical concepts to non-technical audiences. Strong interpersonal skills to build relationships with clients and internal teams. Industry Experience: Minimum 8-10 years of experience in life sciences consulting, pre-sales, or solution engineering roles. Experience working with pharmaceutical, biotech, or medical device companies is preferred. Preferred Qualifications: Bachelor’s/Master’s degree or equivalent in Engineering, Business, Life Sciences, Data Science, or related fields. Industry knowledge in diagnostics, med device and clinical research. What We Offer: Competitive salary and performance-based incentives. Opportunity to work on cutting-edge commercial analytics solutions in the life sciences sector. Collaborative and innovative work environment with ongoing learning and development opportunities. Show more Show less

Role description We are seeking a highly skilled and motivated Senior Manager - Delivery Excellence to drive operational efficiency, enhance delivery capabilities, and ensure excellence across projects. The ideal candidate will have extensive experience in managing delivery governance, implementing process improvements, and aligning strategies to organizational goals. The role requires expertise in project management, stakeholder engagement, and continuous improvement methodologies like Lean, Six Sigma, Agile and a good understanding of industry standard frameworks like CMMi, ISO and MBNQA. A strong understanding of client needs, delivery metrics, and risk management is essential for success in this role. Key Responsibilities: Delivery Governance and Operational Excellence: Lead delivery governance initiatives to ensure projects meet client expectations, timelines, and budgets. Implement and monitor frameworks to enhance delivery quality and efficiency. Drive adherence to delivery SLAs, KPIs, and operational standards. Conduct regular reviews of project health, ensuring risk identification and mitigation. Process Optimization and Continuous Improvement: Identify inefficiencies and recommend process improvements using Lean, Six Sigma, or other methodologies. Collaborate with cross-functional teams to standardize and improve delivery processes. Drive initiatives to increase delivery predictability and reduce time-to-market. Leadership and Team Development: Provide thought leadership and mentoring to delivery teams, fostering a culture of excellence. Drive learning initiatives, such as training programs or workshops, to upskill team members in best practices. Ensure team alignment with organizational goals and delivery strategies. Stakeholder Engagement and Communication: Act as a bridge between delivery teams, senior leadership, and clients, ensuring transparent communication and reporting. Engage with clients and business leaders to gather feedback and identify improvement areas. Present delivery performance reports and improvement roadmaps to stakeholders. Innovation and Technology Enablement: Promote the adoption of innovative tools and technologies to enhance delivery efficiency. Partner with IT teams to identify and implement automation opportunities. Qualifications and Skills: Education: Bachelor’s degree in Engineering, Business Administration, or related fields. MBA or equivalent advanced degree is a plus. Experience: 10 to 15 years of experience in project delivery, governance, or operational excellence. Proven track record of driving delivery excellence initiatives in mid to large-scale organizations. Certifications: PMP, Six Sigma (Green/Black Belt), Agile/Scrum certifications are highly preferred. Skills: Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Proficiency in delivery management tools (e.g., JIRA, ServiceNow, or similar). Strong expertise in project management methodologies and frameworks. Key Competencies: Strategic Thinking Stakeholder Management Team Leadership Change Management Continuous Improvement Show more Show less

Role description Position Overview: As a Manager, Legal at Tredence, you will play a pivotal role in managing our client contracts and ensuring compliance with all contractual obligations along with legal compliance of the Company. You will be responsible for overseeing the entire client contract lifecycle, from negotiation and drafting to execution and management. The ideal candidate will have 7-10 years of legal experience, with a strong foundation in areas such as contract law, regulatory compliance, general corporate legal matters and a background in startup culture. The role will expand to provide legal counsel and guidance to the company on a wide range of legal matters. Key Responsibilities: Contract Management: Review, analyze, and negotiate client contracts to protect the interests of the company. Ensure compliance with all contractual terms and conditions. Identify potential risks and propose mitigation strategies. Implement and manage a robust Contract Lifecycle Management system. Monitor contract milestones, renewal dates, and obligations. Collaborate with cross-functional teams to ensure contract compliance. Manage and oversee the Company's contract portfolio. Participate in contract negotiations and revisions as needed. Collaborate with legal head to resolve complex contract issues. Startup Culture Adaptation: Thrive in a dynamic startup environment with the ability to adapt to rapidly changing priorities. Contribute to a culture of innovation, agility, and continuous improvement. Communication and Collaboration: Work closely with cross-functional teams, including legal, finance, and sales team. Communicate effectively with internal and external stakeholders. Regulatory Compliance: Stay informed about relevant laws and regulations impacting the Company's operations. Develop and implement compliance programs, policies and procedures. Conduct and assist in compliance audits (ISO/ESG) and assessments as required. Risk Management: Identify legal risks and propose strategies to mitigate them. Work to prevent legal disputes and assist in the resolution of legal issues when they arise. Corporate Governance: Assist with corporate governance matters, including board meetings and documentation. Maintain corporate records and filings as necessary. Legal Research: Conduct legal research to support the Company's legal positions and decision-making. Stay current on legal developments and industry trends. Qualifications: Law degree from an accredited law school. 7-10 years of legal experience, with a focus on corporate law and contract law. Prior experience working in a startup or fast-paced environment. Good knowledge of Contract Lifecycle Management (CLM) software and tools. Excellent negotiation, communication, and problem-solving skills. Attention to detail and the ability to work independently and collaboratively within a team. Show more Show less

Job Description: • Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) • Good programming skills in Python with strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. • Experience with SQL, Excel, Tableau/ Power BI, PowerPoint • Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) • Experience applying various machine learning techniques and understanding the key parameters that affect their performance • Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs • Excellent verbal and written communication • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: • Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: • Connect with internal / external POC to understand the business requirements • Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis • Create project plan and sprints for milestones / deliverables • Spin VM, create and optimize clusters for Data Science workflows • Create data pipelines to ingest data effectively • Assure the quality of data with proactive checks and resolve the gaps • Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms • Research whether similar solutions have been already developed before building ML models • Create optimized data models to query relevant data efficiently • Run relevant ML / DL algorithms for business goal seek • Optimize and validate these ML / DL models to scale • Create light applications, simulators, and scenario builders to help business consume the end outputs • Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively • Integrate and operationalize the models in client ecosystem • Document project artifacts and log failures and exceptions. • Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks Show more Show less

Scrum Master - Agile Practiotioner Position Summary: • You will lead 2-3 scrum teams across a vertical, helping them adopt the agile mindset and practices. • The ideal candidate should be highly proficient in lean and agile - values & principles. • Experienced in agile frameworks and related tools. • Looking for L4 level self-motivated candidates with fairly good communication skills who want to pursue their career as an Agile practitioner in the long run. • The ideal candidate should have Software development, Project/Program Management/Delivery, BA/PO Exp. Responsibilities: • Can lead 2-3 scrum/Kanban/XP teams and inculcate the awareness of agility within the team. • Drive all the ceremonies for the scrum teams and track the backlog conversion work. • Helping team and PO/Team in story writing and organizing the requirement components • Coach teams through the journey of agile adoption with appropriate frameworks • Evaluate and advise Agile Frameworks, tools, and techniques to the team, as applicable. • Organizing Metrics for team and stakeholders to have transparency and visibility in release work. • Helping verticals and organizations in doing the agile maturity assessment periodically • Helping the team in removing the impediments for smoother scrum/iteration cycles • Working closely with clients and stakeholders on a day-to-day basis doing agile solutioning for deliveries Qualifications: • 7 to 10 - years of overall experience in the IT Industry as a Developer/Tester/BA • 3 to 4 - years of experience as a scrum master (SM) & agile project management delivery • It is preferable to have a candidate from the Analytics/Data engineering/BI domain. • Some understanding of design thinking and systems thinking is preferable. • Good to have Atlassian JIRA, MS ADO, Atlassian Confluence, MS SharePoint, Rally, and MS Excel skills. • Mandatory: CSM, PSM-I/II/III/SAFe, LeSS, RTE etc. Active certification is a must. • Good to have: Relevant Agile advanced certifications (Lean Kanban/Scrum Alliance/ Scrum.org/Disciplined Agile) • Experience working with multiple delivery and business partners team's project management best practices. • Working Knowledge of tools like MS Office, and Power BI reports. • Outstanding Communication skills, both written and verbal • Experience in Client-facing roles - mandatory. About Tredence: https://www.tredence.com/company-careers Tredence is a global analytics services and solutions company. Our capabilities range from Data. Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data. Show more Show less

Role description Role Overview As Entity Controller, you will be responsible for leading accounting operations, financial reporting, audit coordination, and statutory compliance for one or more of Tredence’s global legal entities. You will play a critical role in ensuring process integrity, local compliance, and timely financial close while supporting global consolidation and reporting. This role is ideal for someone with strong fundamentals in accounting and audit, a hands-on execution mindset, and the ability to collaborate cross-functionally in a fast-paced environment. Key Responsibilities · Lead month-end and year-end close for designated entities, ensuring completeness, accuracy, and timeliness. · Own GL review, journal entries, balance sheet reconciliations, and sub-ledger hygiene. · Support global consolidation by ensuring accurate intercompany transactions, eliminations, and reconciliations. · Prepare and review statutory financial statements in accordance with local GAAP (India, UK, etc.) and align with global accounting policies. · Liaise with external auditors and manage year-end statutory audits, tax audits, and transfer pricing documentation. · Ensure timely statutory filings, tax returns, and regulatory submissions in collaboration with internal tax and legal teams. · Implement and maintain strong internal control frameworks and entity-level SOX-like controls. · Drive adherence to company-wide accounting policies, raising red flags for exceptions or deviations. · Identify opportunities for process improvement, automation, and enhanced efficiency. · Support business finance and FP&A teams with entity-level actuals, variance analysis, and cost tracking. · Work closely with the global controller and tax leads on intercompany invoicing, transfer pricing, and cost allocations. · Participate in system upgrades, ERP improvement projects, and finance transformation initiatives. Show more Show less

Data Engineer Experience Level: 12 months to 16 months only (Excluding internship) Job location- Bengaluru, Chennai, Gurgaon, Kolkata, Pune, Hyderabad B.Tech/BE/ME/M.Tech- 2023 & 2024 Grads only. Rest can avoid please MUST HAVE • Minimum of 12 months of Data Engineering experience. • Strong technical knowledge of tools like Azure Data Factory/Databricks/GCP/Snowflake, SQL, Python . • Experience in collaborating with business stakeholders to identify and meet data requirements • Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources • Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration and data management • Implemented batch & near real time data ingestion pipelines • Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc. • Excellent written and oral communication skills GOOD TO HAVE • Proven ability to work with large cross functional teams with good communication skills. • Experience on Cloud migration methodologies and processes • Azure Certified Data Engineer • Exposure to Azure Dev ops and Github • Ability to drive customer calls independently • Ability to take ownership and work with team Show more Show less

Job Description: As a Data Governance Architect, you must be able to manage organization-wide data governance activities and will be responsible for improving the quality and managing the protection of sensitive data and information assets. You will be responsible for preparing a Data Catalog strategy to build out a catalog with data and BI objects and onboard a user base to support the curation of metadata, lineage, and documentation for enabling seamless data discovery at an enterprise level, thereby streamlining data intake, and reducing data duplication throughout the organization. You must be result-oriented, self-motivated and can thrive in a fast-paced environment. This role requires you to serve as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department. Primary Roles and Responsibilities: • Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. • Responsible for the implementation and oversight of the Company’s data management goals, standards, practices, process, and technologies. • Experience in establishing data connections for relevant schemas, defining data steward’s role & responsibilities for the scope of the data catalog. • Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets • To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each team’s metadata, and develop a process for working with and onboarding data domain teams. • Be the point of contact for Data Governance queries, including escalation point for client concerns. • Coordinate the resolution of data integrity gaps by working with the business owners and IT. • Ability to work in an agile environment with an iterative approach to development. Skills and Qualifications: ● Bachelor's and/or master’s degree in computer science or equivalent experience. ● Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. ● Programming skills (sufficient to write SQL queries to validate test results in DW database). ● Proficient in SQL, Python, and must have strong understanding of databases and data structures. ● Experience with Application programming interface (API) development skills, essential in developing & running API scripts across multiple devices, databases, and servers, working with REST, and open API technologies. ● Proficient in working with Enterprise Data Catalog software like Alation, Collibra etc. ● Experience with dashboarding of reporting tools (Power BI, Tableau etc.) is a plus. ● Excellent analytical, problem-solving, communication and interpersonal skills. ● Ability to set priorities and multi-task in a fast-paced environment. ● Experience in metadata management - Business Glossary, Lineage, data dictionaries, ETL is essential. ● Ability to work independently and productively under pressure. ● Strong organizational skills and decision-making ability

Primary Roles and Responsibilities: Developing Modern Data Warehouse solutions using Databricks and Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications: Bachelor's and/or master’s degree in computer science or equivalent experience Must have total 4+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects Deep understanding of Star and Snowflake dimensional modelling Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in Azure stack Desirable to have ETL with batch and streaming (Kinesis) Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable) Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills