Job Title: Data Engineering Lead Location: Indore/Pune Full Time Opportunity Job Summary: We are seeking an experienced Data Engineering Lead to oversee and guide our organization's data engineering function. The ideal candidate will combine deep technical expertise in big data and data engineering with strong leadership skills to drive innovation, best practices, and excellence across our data engineering teams. Key Responsibilities: Establish and evolve the strategic direction for the data engineering practice across the organization. Define and implement best practices, standards, and methodologies for data engineering processes and technologies. Lead the design and architecture of scalable, enterprise-wide data solutions and platforms. Oversee multiple data engineering teams and projects, ensuring alignment with organizational goals and technical standards. Mentor and develop data engineering talent across the organization, fostering a culture of continuous learning and innovation. Collaborate with other practice leads and senior leadership to align data engineering initiatives with broader technology and business strategies. Stay abreast of emerging trends and technologies in data engineering and feature engineering, evaluating their potential impact and guiding adoption where appropriate. Drive the selection, implementation, and optimization of data engineering tools and technologies. Oversee the design and implementation of data pipelines, ETL processes, and data integration solutions. Establish KPIs and metrics to measure the effectiveness and efficiency of data engineering practices. Represent the data engineering practice in executive-level meetings and decision-making processes. Oversee the design and implementation of data pipelines, ETL processes, and data integration solutions. Guide the adoption of cloud-based data solutions and migration strategies. Participate in industry events, conferences, and communities to enhance the organization's reputation in data engineering. Required Qualifications: 10+ years of experience in data engineering roles, with at least 3 years in leadership positions Deep expertise in big data technologies, cloud platforms, and data integration tools and programming languages such Scala, PySpark with Spark knowledge. Strong understanding of data governance, security, and compliance requirements Proven track record of successfully leading large-scale data engineering initiatives Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences Strong leadership and mentoring abilities with experience managing and developing teams Experience in establishing or significantly growing a data engineering practice Knowledge of machine learning and AI technologies and their integration with data engineering Familiarity with Agile and DevOps methodologies Relevant industry certifications (e.g., AWS Certified Big Data, Google Cloud Professional Data Engineer, Databricks, Snowflake) Experience in a consulting or professional services environment Published articles or speaking engagements related to data engineering and/or feature engineering Good knowledge on GraphDBs, VectorDBs and building RAG frameworks. Preferred Qualifications Certifications: Snowflake SnowPro Certification or Databricks Data Engineer Professional. Scripting Languages: Experience with Python or other scripting languages for automation and data processing. Industry Experience: Familiarity with industries such as manufacturing, oil & gas, or automotive is a plus. Why Ascentt? Innovative Projects: Work on cutting-edge data solutions that drive business transformation. Collaborative Environment: Join a team of professionals who value collaboration and continuous learning. Career Growth: Opportunities for professional development and advancement within the company. Show more Show less

AWS DevOps Engineer 5+ years of experience Location: Indore/Pune work from Office Immediate joiners preferred Job Description: Cloud Infrastructure Managemen t: Design, implement, and manage cloud-based infrastructure on AWS and Azure, ensuring optimal scalability, performance, and security. CI/CD Pipeline Development : Develop and maintain CI/CD pipelines using GitHub Actions for automated code deployments and testing. System Monitoring and Incident Management: Implement and configure Datadog for comprehensive system monitoring. Develop and maintain Datadog dashboards to visualize system performance and metrics. Set up proactive alerts in Datadog to detect and respond to incidents swiftly, ensuring high system reliability and uptime. Conduct root cause analysis of incidents and implement corrective actions using Datadog insights. Collaboration with AI Teams: Work closely with AI teams to support the operational aspects of LLMs, including deployment strategies and performance tuning. Infrastructure as Code (IaC): Implement IaC using tools like Terraform or AWS CloudFormation to automate infrastructure provisioning and management. Container Orchestratio n: Manage container orchestration systems such as Kubernetes or AWS ECS. Operational Support for LLMs: Provide operational support for LLMs, focusing on performance optimization and reliability. Scripting and Automation: Utilize scripting languages such as Python and Bash for automation and task management. Security and Compliance : Ensure compliance with security standards and best practices, implementing robust security measures. Documentation : Document system configurations, procedures, and best practices for internal and external stakeholders. DevOps Collaboration : Work with development teams to optimize deployment workflows, introduce best practices for DevOps, and improve overall efficiency. Technology and Industry Awareness: Stay up-to-date with emerging technologies and industry trends to suggest improvements and upgrades. Qualifications and Skills Required: Extensive experience with AWS and Azure cloud platforms. Proficiency in developing CI/CD pipelines using GitHub Actions. Strong experience with Datadog for system monitoring, including implementation, configuration, and maintenance. Demonstrated ability to create and maintain Datadog dashboards for performance visualization. Proven expertise in setting up alerts and conducting incident response with Datadog. Hands-on experience with container orchestration systems such as Kubernetes or AWS ECS. Proficiency in Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Familiarity with operational aspects of Large Language Models (LLMs) is highly desirable. Strong scripting skills in Python, Bash, or similar languages. In-depth knowledge of security standards and best practices. Excellent documentation skills. Proven ability to work collaboratively with development and AI teams. Commitment to staying current with industry trends and emerging technologies Education: Graduate (CS) Certifications/Licenses: AWS Certifications is a plus Technical Skills: AWS ECS, S3, Lambda, CloudFront, Github actions, Git, Python, Terraform, VPC, API Gateway Show more Show less

Position: Sr. Tableau Developer Location: Pune/Indore Full Time Opportunity Experience: 6+ years of experience in Tableau development JD Key Responsibilities: Build and maintain complex Tableau dashboards with drill-down capabilities, filters, actions, and KPI indicators. Write advanced calculations like Level of Detail (LOD) expressions to address business logic such as aggregations at different dimensions. Design and implement table calculations for running totals, percent change, rankings, etc. Perform data blending and joins across multiple sources, ensuring data accuracy and integrity. Optimize Tableau workbook performance by managing extracts, minimizing dashboard load time, and tuning calculations. Use parameters , dynamic filters , and action filters for interactive user experiences. Design dashboard wireframes and prototypes using Tableau or other tools like Figma. Manage publishing, scheduling, and permissions in Tableau Server/Cloud . Collaborate with data engineering to design performant, scalable data sources. Document data logic, dashboard specs, and technical workflows for governance. Provide mentorship and technical guidance to junior Tableau developers. Experience in any BI Reporting Tool like Power BI, Looker, Quicksight, Alteryx is a Plus Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Analytics, or a related field 6+ years of experience in Tableau development Tableau Desktop Certified Professional (preferred) Experience with enterprise BI projects and stakeholder engagement SQL proficiency : Ability to write complex joins, CTEs, subqueries, and window functions. Experience working with large datasets in tools like: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, or SQL Server Data preparation tools experience (preferred but not required): Tableau Prep, Alteryx, dbt, or equivalent Knowledge of Tableau Server/Cloud administration (publishing, permissions, data source refreshes) Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Job Title: Data Engineering Lead Job Summary We are seeking an experienced Data Engineering Lead to oversee and guide our organization's data engineering function. The ideal candidate will combine deep technical expertise in big data and data engineering with strong leadership skills to drive innovation, best practices, and excellence across our data engineering teams. Key Responsibilities Establish and evolve the strategic direction for the data engineering practice across the organization. Define and implement best practices, standards, and methodologies for data engineering processes and technologies. Lead the design and architecture of scalable, enterprise-wide data solutions and platforms. Oversee multiple data engineering teams and projects, ensuring alignment with organizational goals and technical standards. Mentor and develop data engineering talent across the organization, fostering a culture of continuous learning and innovation. Collaborate with other practice leads and senior leadership to align data engineering initiatives with broader technology and business strategies. Stay abreast of emerging trends and technologies in data engineering and feature engineering, evaluating their potential impact and guiding adoption where appropriate. Drive the selection, implementation, and optimization of data engineering tools and technologies. Oversee the design and implementation of data pipelines, ETL processes, and data integration solutions. Establish KPIs and metrics to measure the effectiveness and efficiency of data engineering practices. Represent the data engineering practice in executive-level meetings and decision-making processes. Oversee the design and implementation of data pipelines, ETL processes, and data integration solutions. Guide the adoption of cloud-based data solutions and migration strategies. Participate in industry events, conferences, and communities to enhance the organization's reputation in data engineering. Required Qualifications 10+ years of experience in data engineering roles, with at least 3 years in leadership positions Deep expertise in big data technologies, cloud platforms, and data integration tools and programming languages such Scala, PySpark with Spark knowledge. Strong understanding of data governance, security, and compliance requirements Proven track record of successfully leading large-scale data engineering initiatives Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences Strong leadership and mentoring abilities with experience managing and developing teams Experience in establishing or significantly growing a data engineering practice Knowledge of machine learning and AI technologies and their integration with data engineering Familiarity with Agile and DevOps methodologies Relevant industry certifications (e.g., AWS Certified Big Data, Google Cloud Professional Data Engineer, Databricks, Snowflake) Experience in a consulting or professional services environment Published articles or speaking engagements related to data engineering and/or feature engineering Good knowledge on GraphDBs, VectorDBs and building RAG frameworks. Preferred Qualifications Certifications: Snowflake SnowPro Certification or Databricks Data Engineer Professional. Scripting Languages: Experience with Python or other scripting languages for automation and data processing. Industry Experience: Familiarity with industries such as manufacturing, oil & gas, or automotive is a plus. Why Ascentt? Innovative Projects: Work on cutting-edge data solutions that drive business transformation. Collaborative Environment: Join a team of professionals who value collaboration and continuous learning. Career Growth: Opportunities for professional development and advancement within the company. Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. AWS DevOps Engineer 5+ years of experience Job Description Cloud Infrastructure Management: Design, implement, and manage cloud-based infrastructure on AWS and Azure, ensuring optimal scalability, performance, and security. CI/CD Pipeline Development: Develop and maintain CI/CD pipelines using GitHub Actions for automated code deployments and testing. System Monitoring And Incident Management Implement and configure Datadog for comprehensive system monitoring. Develop and maintain Datadog dashboards to visualize system performance and metrics. Set up proactive alerts in Datadog to detect and respond to incidents swiftly, ensuring high system reliability and uptime. Conduct root cause analysis of incidents and implement corrective actions using Datadog insights. Collaboration with AI Teams: Work closely with AI teams to support the operational aspects of LLMs, including deployment strategies and performance tuning. Infrastructure as Code (IaC): Implement IaC using tools like Terraform or AWS CloudFormation to automate infrastructure provisioning and management. Container Orchestration: Manage container orchestration systems such as Kubernetes or AWS ECS. Operational Support for LLMs: Provide operational support for LLMs, focusing on performance optimization and reliability. Scripting and Automation: Utilize scripting languages such as Python and Bash for automation and task management. Security and Compliance: Ensure compliance with security standards and best practices, implementing robust security measures. Documentation: Document system configurations, procedures, and best practices for internal and external stakeholders. DevOps Collaboration: Work with development teams to optimize deployment workflows, introduce best practices for DevOps, and improve overall efficiency. Technology and Industry Awareness: Stay up-to-date with emerging technologies and industry trends to suggest improvements and upgrades. Qualifications And Skills Required Extensive experience with AWS and Azure cloud platforms. Proficiency in developing CI/CD pipelines using GitHub Actions. Strong experience with Datadog for system monitoring, including implementation, configuration, and maintenance. Demonstrated ability to create and maintain Datadog dashboards for performance visualization. Proven expertise in setting up alerts and conducting incident response with Datadog. Hands-on experience with container orchestration systems such as Kubernetes or AWS ECS. Proficiency in Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Familiarity with operational aspects of Large Language Models (LLMs) is highly desirable. Strong scripting skills in Python, Bash, or similar languages. In-depth knowledge of security standards and best practices. Excellent documentation skills. Proven ability to work collaboratively with development and AI teams. Commitment to staying current with industry trends and emerging technologies Education Graduate (CS) Certifications/Licenses AWS Certifications is a plus Technical Skills AWS ECS, S3, Lambda, CloudFront, Github actions, Git, Python, Terraform, VPC, API Gateway Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Sr Tableau Developer 6+ years of experience in Tableau development JD Key Responsibilities Build and maintain complex Tableau dashboards with drill-down capabilities, filters, actions, and KPI indicators. Write advanced calculations like Level of Detail (LOD) expressions to address business logic such as aggregations at different dimensions. Design and implement table calculations for running totals, percent change, rankings, etc. Perform data blending and joins across multiple sources, ensuring data accuracy and integrity. Optimize Tableau workbook performance by managing extracts, minimizing dashboard load time, and tuning calculations. Use parameters, dynamic filters, and action filters for interactive user experiences. Design dashboard wireframes and prototypes using Tableau or other tools like Figma. Manage publishing, scheduling, and permissions in Tableau Server/Cloud. Collaborate with data engineering to design performant, scalable data sources. Document data logic, dashboard specs, and technical workflows for governance. Provide mentorship and technical guidance to junior Tableau developers. Experience in any BI Reporting Tool like PowerBI, Looker, Quicksight, Alteryx is a Plus Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Analytics, or a related field 6+ years of experience in Tableau development Tableau Desktop Certified Professional (preferred) Experience with enterprise BI projects and stakeholder engagement SQL proficiency: Ability to write complex joins, CTEs, subqueries, and window functions. Experience working with large datasets in tools like: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, or SQL Server Data preparation tools experience (preferred but not required): Tableau Prep, Alteryx, dbt, or equivalent Knowledge of Tableau Server/Cloud administration (publishing, permissions, data source refreshes) Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Lead Data Analyst Key Responsibilities Lead the end-to-end analytics lifecycle for cost-focused projects, from defining key objectives to delivering insights and recommendations to senior stakeholders. Lead and contribute to analytics initiatives with a focus on cost metrics, ensuring alignment with business goals. Data Strategy: Define and implement robust data models, ensuring the scalability and accuracy of cost metrics for reporting and forecasting. KPI Development: Design, measure, and monitor cost-related KPIs, including cost-per-unit, cost-of-service, budget utilization, and return on investment (ROI). Insights Delivery: Create dashboards and reports that effectively communicate cost metrics and trends to stakeholders, enabling data-driven decisions. Advanced Analysis: Conduct exploratory data analysis, trend forecasting, and scenario modeling to identify cost-saving opportunities and potential risks. Data Governance: Ensure data quality, integrity, and compliance by working closely with data engineering and governance teams. Data Exploration: Analyze datasets to uncover trends, patterns, and insights that help the business better understand cost dynamics. Collaborate Across Teams: Work closely with Finance, Operations, and other departments to align analytics with organizational needs and goals. Ensure Data Quality: Partner with data engineers and other team members to ensure the accuracy and reliability of data. Contribute to Team Growth: Share knowledge and insights with team members to foster a collaborative and innovative work environment. Qualifications Bachelor’s or Master’s degree in Data Science, Economics, Finance, Statistics, or a related field. 8+ years of experience in data analytics, with demonstrated expertise in cost analytics, financial modeling, and cost optimization. Proficiency in data analysis tools and languages such as SQL, Python, or R. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong understanding of database systems, data warehousing, and ETL processes. Strong analytical mindset with the ability to transform complex data into actionable insights. Excellent written and verbal communication skills, with experience presenting findings to stakeholders. Ability to manage multiple priorities and deadlines in a fast-paced environment. Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Lead Data Analyst Key Responsibilities Lead the end-to-end analytics lifecycle for cost-focused projects, from defining key objectives to delivering insights and recommendations to senior stakeholders. Lead and contribute to analytics initiatives with a focus on cost metrics, ensuring alignment with business goals. Data Strategy: Define and implement robust data models, ensuring the scalability and accuracy of cost metrics for reporting and forecasting. KPI Development: Design, measure, and monitor cost-related KPIs, including cost-per-unit, cost-of-service, budget utilization, and return on investment (ROI). Insights Delivery: Create dashboards and reports that effectively communicate cost metrics and trends to stakeholders, enabling data-driven decisions. Advanced Analysis: Conduct exploratory data analysis, trend forecasting, and scenario modeling to identify cost-saving opportunities and potential risks. Data Governance: Ensure data quality, integrity, and compliance by working closely with data engineering and governance teams. Data Exploration: Analyze datasets to uncover trends, patterns, and insights that help the business better understand cost dynamics. Collaborate Across Teams: Work closely with Finance, Operations, and other departments to align analytics with organizational needs and goals. Ensure Data Quality: Partner with data engineers and other team members to ensure the accuracy and reliability of data. Contribute to Team Growth: Share knowledge and insights with team members to foster a collaborative and innovative work environment. Qualifications Bachelor’s or Master’s degree in Data Science, Economics, Finance, Statistics, or a related field. 8+ years of experience in data analytics, with demonstrated expertise in cost analytics, financial modeling, and cost optimization. Proficiency in data analysis tools and languages such as SQL, Python, or R. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong understanding of database systems, data warehousing, and ETL processes. Strong analytical mindset with the ability to transform complex data into actionable insights. Excellent written and verbal communication skills, with experience presenting findings to stakeholders. Ability to manage multiple priorities and deadlines in a fast-paced environment. Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Location: Indore Job Type: Full-time About The Role We are seeking a highly organized HR & Operations Specialist with a strong communications background to support our HR and operational functions. The ideal candidate has 5-6 years of HR experience (preferred), excellent written and verbal communication skills, and familiarity with HR systems is a plus. This role is crucial in ensuring smooth HR operations, employee engagement, and effective internal communication across the organization. Key Job Duties US immigration, compliance, legal, vendor management, Knowledge on Rippling etc, Vendors contract management, HR Operations Assist in preparing and filing immigration applications and petitions, including H-1B, L-1, and permanent residency applications Maintain accurate records and documentation for each case in our internal systems Collaborate with senior specialists to develop strategies for complex immigration cases Participate in educational sessions to stay updated on immigration law changes and best practices Assist the Compliance department members with the I9 process, including remote associate, audits and e-Verify compliance Assist with background verifications and reports for adverse activity on reinvestigation cases Qualifications For HR Compliance Experience implementing Rippling functionality into existing infrastructure Solid knowledge of HR systems, infrastructure, and the development and delivery of HR metrics/dashboards Familiarity with international operations and remote locations for a dynamic global corporation preferred Strategic, critical thinker and change agent who can execute tactically while maintaining a view of long term goals and company objectives Excellent organizational, written and verbal communications, presentation, interpersonal and project management skills Bachelor degree in Business, Information Systems, Human Resources, or related field of study preferred. Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Scrum Master Experience: 4-5 Years Location: Indore, M.P Scrum Master Responsibilities Include Helping software development teams apply the Scrum framework Planning deliverables and helping teams monitor performance Resolving issues that hinder the teams’ work Scrum Master Experience And Skills You should have excellent knowledge of the scrum framework, with all its artifacts and techniques. You’ll also need the ability to coordinate people and projects (occasionally facilitating changes) with your mind set on deliverables. If you’re a strong communicator, a capable leader and your’re invested in Agile frameworks, we’d like to meet you. Responsibilities Manage each project’s scope and timeline Coordinate sprints, retrospective meetings and daily stand-ups Coach team members in Agile frameworks Facilitate internal communication and effective collaboration Be the point of contact for external communications (e.g. from customers or stakeholders) Work with product owners to handle backlogs and new requests Resolve conflicts and remove obstacles that occur Help teams implement changes effectively Ensure deliverables are up to quality standards at the end of each sprint Guide development teams to higher scrum maturity Help build a productive environment where team members ‘own’ the product and enjoy working on it Requirements And Skills Experience in a scrum master role Familiarity with software development Excellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement) Good knowledge of other Agile frameworks (Crystal, XP etc.) Excellent communication and servant leadership skills Problem-solving and conflict-resolution ability Outstanding organizational skills Degree in Computer Science, Business or similar field Scrum master certification is a plus Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Scrum Master Experience: 4-5 Years Location: Indore, M.P Scrum Master Responsibilities Include Helping software development teams apply the Scrum framework Planning deliverables and helping teams monitor performance Resolving issues that hinder the teams’ work Scrum Master Experience And Skills You should have excellent knowledge of the scrum framework, with all its artifacts and techniques. You’ll also need the ability to coordinate people and projects (occasionally facilitating changes) with your mind set on deliverables. If you’re a strong communicator, a capable leader and your’re invested in Agile frameworks, we’d like to meet you. Responsibilities Manage each project’s scope and timeline Coordinate sprints, retrospective meetings and daily stand-ups Coach team members in Agile frameworks Facilitate internal communication and effective collaboration Be the point of contact for external communications (e.g. from customers or stakeholders) Work with product owners to handle backlogs and new requests Resolve conflicts and remove obstacles that occur Help teams implement changes effectively Ensure deliverables are up to quality standards at the end of each sprint Guide development teams to higher scrum maturity Help build a productive environment where team members ‘own’ the product and enjoy working on it Requirements And Skills Experience in a scrum master role Familiarity with software development Excellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement) Good knowledge of other Agile frameworks (Crystal, XP etc.) Excellent communication and servant leadership skills Problem-solving and conflict-resolution ability Outstanding organizational skills Degree in Computer Science, Business or similar field Scrum master certification is a plus Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. IAM Analyst - Identity and Access Management Position Overview We are seeking a skilled IAM Analyst to join our Identity and Access Management team, focusing on the design, implementation, and management of secure authentication and authorization systems for marketing applications. This role will be instrumental in advancing our SSO capabilities and ensuring seamless user experiences while maintaining the highest security standards. Key Responsibilities Identity Integration & SSO Implementation Design and implement Single Sign-On (SSO) based integrations for various marketing applications with Azure Active Directory/Entra ID, SailPoint, and ForgeRock platforms Configure and optimize identity federation protocols including SAML, OAuth 2.0, and OpenID Connect Develop technical specifications and integration documentation for marketing application onboarding Security & Compliance Adhere to established security best practices and standards in all IAM implementations Ensure least privilege access principles are consistently applied across all user provisioning and access management activities Conduct regular access reviews and implement role-based access control (RBAC) frameworks Maintain compliance with industry security standards and regulatory requirements User Migration & Onboarding Plan and execute comprehensive migration strategies for transitioning users to new authentication and authorization systems Develop and implement user onboarding processes that ensure smooth adoption of new IAM technologies Create detailed migration timelines, risk assessments, and rollback procedures Coordinate user training and communication during migration phases Operations & Troubleshooting Audit IAM systems and processes to identify security gaps and operational inefficiencies Troubleshoot and resolve complex issues related to user onboarding, migration, and daily IAM operations within defined SLA timeframes Perform root cause analysis and implement preventive measures for recurring issues Monitor system performance and user access patterns to optimize IAM infrastructure Required Qualifications Technical Skills 3+ years of hands-on experience with identity and access management platforms, specifically: Azure Active Directory/Entra ID administration and configuration SailPoint IdentityIQ or IdentityNow implementation and management ForgeRock Identity Platform (AM, IDM, DS) deployment and operations Strong understanding of SSO protocols (SAML 2.0, OAuth 2.0, OpenID Connect, LDAP) Experience with identity governance and administration (IGA) processes Proficiency in PowerShell, REST APIs, and directory services integration Professional Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, or related field Proven experience in enterprise-level IAM implementations and migrations Demonstrated ability to troubleshoot complex authentication and authorization issues Experience working in regulated industries with compliance requirements Core Competencies Strong analytical and problem-solving skills with attention to detail Excellent communication skills with ability to explain technical concepts to non-technical stakeholders Project management experience with ability to manage multiple initiatives simultaneously Customer service orientation with focus on user experience optimization Preferred Qualifications Relevant certifications such as: Microsoft Azure Identity and Access Administrator (SC-300) SailPoint Certified IdentityIQ Engineer ForgeRock Identity Management certification CISSP, CISM, or similar security certifications Experience with automation tools and scripting languages (Python, JavaScript, etc.) Knowledge of privileged access management (PAM) solutions Familiarity with automotive industry security standards and practices Experience with Agile/Scrum methodologies Show more Show less

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Job Title: Data Engineering Lead Job Summary We are seeking an experienced Data Engineering Lead to oversee and guide our organization's data engineering function. The ideal candidate will combine deep technical expertise in big data and data engineering with strong leadership skills to drive innovation, best practices, and excellence across our data engineering teams. Key Responsibilities Establish and evolve the strategic direction for the data engineering practice across the organization. Define and implement best practices, standards, and methodologies for data engineering processes and technologies. Lead the design and architecture of scalable, enterprise-wide data solutions and platforms. Oversee multiple data engineering teams and projects, ensuring alignment with organizational goals and technical standards. Mentor and develop data engineering talent across the organization, fostering a culture of continuous learning and innovation. Collaborate with other practice leads and senior leadership to align data engineering initiatives with broader technology and business strategies. Stay abreast of emerging trends and technologies in data engineering and feature engineering, evaluating their potential impact and guiding adoption where appropriate. Drive the selection, implementation, and optimization of data engineering tools and technologies. Oversee the design and implementation of data pipelines, ETL processes, and data integration solutions. Establish KPIs and metrics to measure the effectiveness and efficiency of data engineering practices. Represent the data engineering practice in executive-level meetings and decision-making processes. Oversee the design and implementation of data pipelines, ETL processes, and data integration solutions. Guide the adoption of cloud-based data solutions and migration strategies. Participate in industry events, conferences, and communities to enhance the organization's reputation in data engineering. Required Qualifications 10+ years of experience in data engineering roles, with at least 3 years in leadership positions Deep expertise in big data technologies, cloud platforms, and data integration tools and programming languages such Scala, PySpark with Spark knowledge. Strong understanding of data governance, security, and compliance requirements Proven track record of successfully leading large-scale data engineering initiatives Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences Strong leadership and mentoring abilities with experience managing and developing teams Experience in establishing or significantly growing a data engineering practice Knowledge of machine learning and AI technologies and their integration with data engineering Familiarity with Agile and DevOps methodologies Relevant industry certifications (e.g., AWS Certified Big Data, Google Cloud Professional Data Engineer, Databricks, Snowflake) Experience in a consulting or professional services environment Published articles or speaking engagements related to data engineering and/or feature engineering Good knowledge on GraphDBs, VectorDBs and building RAG frameworks. Preferred Qualifications Certifications: Snowflake SnowPro Certification or Databricks Data Engineer Professional. Scripting Languages: Experience with Python or other scripting languages for automation and data processing. Industry Experience: Familiarity with industries such as manufacturing, oil & gas, or automotive is a plus. Why Ascentt? Innovative Projects: Work on cutting-edge data solutions that drive business transformation. Collaborative Environment: Join a team of professionals who value collaboration and continuous learning. Career Growth: Opportunities for professional development and advancement within the company.

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Senior Data Analyst (Alteryx Expert) Job Title: Senior Data Analyst (Alteryx Expert) Experience 5+ Years Location: Indore/Pune Overview Job Description: As a Senior Data Analyst with strong expertise in Alteryx, you will play a pivotal role in our data analytics team, driving insights and strategic decision-making through advanced data manipulation, analysis, and visualization. You will utilize your deep understanding of Alteryx capabilities to streamline data workflows, automate processes, and extract actionable insights from complex datasets. The ideal candidate will possess a blend of technical proficiency, analytical acumen, and strong communication skills to collaborate effectively across departments and drive business outcomes. Responsibilities Develop and maintain Alteryx workflows to cleanse, blend, and transform raw data from multiple sources into actionable insights. Implement advanced data manipulation techniques to handle complex data structures, outliers, and missing values. Design and implement automated processes using Alteryx to improve efficiency and scalability of data workflows. Identify opportunities for process optimization and automation to streamline data processing and analysis. Create compelling visualizations and interactive dashboards using Alteryx and other BI tools (e.g., Tableau, Power BI) to communicate insights and trends effectively. Work closely with stakeholders to understand reporting requirements and deliver actionable insights that drive informed decision-making. Collaborate with cross-functional teams including business stakeholders, data engineers, and IT professionals to understand business requirements and deliver solutions. Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven 5+ years experience as a Data Analyst with a focus on data manipulation, analysis, and visualization. Strong proficiency in Alteryx Designer with demonstrated experience in building complex workflows and solving business problems. Proficiency in SQL for data manipulation and querying. Experience with data visualization tools such as Tableau, Power BI, or similar. Solid understanding of statistical analysis, predictive modeling, and machine learning techniques. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Proven ability to work in a fast-paced environment, manage multiple priorities, and deliver results under tight deadlines. Experience working in a collaborative team environment with a customer-centric approach. Preferred Qualifications Alteryx Core Certification or Advanced Certification. Experience working in industries such as manufacturing , finance, healthcare, retail, or. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Knowledge of scripting languages such as Python or R for data analysis and modeling. Experience with data governance, security, and compliance standards.

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Senior Data Analyst (Alteryx Expert) Job Title: Senior Data Analyst (Alteryx Expert) Experience 5+ Years Location: Indore/Pune Overview Job Description: As a Senior Data Analyst with strong expertise in Alteryx, you will play a pivotal role in our data analytics team, driving insights and strategic decision-making through advanced data manipulation, analysis, and visualization. You will utilize your deep understanding of Alteryx capabilities to streamline data workflows, automate processes, and extract actionable insights from complex datasets. The ideal candidate will possess a blend of technical proficiency, analytical acumen, and strong communication skills to collaborate effectively across departments and drive business outcomes. Responsibilities Develop and maintain Alteryx workflows to cleanse, blend, and transform raw data from multiple sources into actionable insights. Implement advanced data manipulation techniques to handle complex data structures, outliers, and missing values. Design and implement automated processes using Alteryx to improve efficiency and scalability of data workflows. Identify opportunities for process optimization and automation to streamline data processing and analysis. Create compelling visualizations and interactive dashboards using Alteryx and other BI tools (e.g., Tableau, Power BI) to communicate insights and trends effectively. Work closely with stakeholders to understand reporting requirements and deliver actionable insights that drive informed decision-making. Collaborate with cross-functional teams including business stakeholders, data engineers, and IT professionals to understand business requirements and deliver solutions. Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven 5+ years experience as a Data Analyst with a focus on data manipulation, analysis, and visualization. Strong proficiency in Alteryx Designer with demonstrated experience in building complex workflows and solving business problems. Proficiency in SQL for data manipulation and querying. Experience with data visualization tools such as Tableau, Power BI, or similar. Solid understanding of statistical analysis, predictive modeling, and machine learning techniques. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills with the ability to effectively convey complex technical concepts to non-technical stakeholders. Proven ability to work in a fast-paced environment, manage multiple priorities, and deliver results under tight deadlines. Experience working in a collaborative team environment with a customer-centric approach. Preferred Qualifications Alteryx Core Certification or Advanced Certification. Experience working in industries such as manufacturing , finance, healthcare, retail, or. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Knowledge of scripting languages such as Python or R for data analysis and modeling. Experience with data governance, security, and compliance standards.

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Sr Tableau Developer 6+ years of experience in Tableau development JD Key Responsibilities Build and maintain complex Tableau dashboards with drill-down capabilities, filters, actions, and KPI indicators. Write advanced calculations like Level of Detail (LOD) expressions to address business logic such as aggregations at different dimensions. Design and implement table calculations for running totals, percent change, rankings, etc. Perform data blending and joins across multiple sources, ensuring data accuracy and integrity. Optimize Tableau workbook performance by managing extracts, minimizing dashboard load time, and tuning calculations. Use parameters, dynamic filters, and action filters for interactive user experiences. Design dashboard wireframes and prototypes using Tableau or other tools like Figma. Manage publishing, scheduling, and permissions in Tableau Server/Cloud. Collaborate with data engineering to design performant, scalable data sources. Document data logic, dashboard specs, and technical workflows for governance. Provide mentorship and technical guidance to junior Tableau developers. Experience in any BI Reporting Tool like PowerBI, Looker, Quicksight, Alteryx is a Plus Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Analytics, or a related field 6+ years of experience in Tableau development Tableau Desktop Certified Professional (preferred) Experience with enterprise BI projects and stakeholder engagement SQL proficiency: Ability to write complex joins, CTEs, subqueries, and window functions. Experience working with large datasets in tools like:Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, or SQL Server Data preparation tools experience (preferred but not required): Tableau Prep, Alteryx, dbt, or equivalent Knowledge of Tableau Server/Cloud administration (publishing, permissions, data source refreshes)

As a Gen AI Engineer, you will be responsible for developing and implementing AI models using cutting-edge technologies such as GPT-4, ChatGPT, and Hugging Face Transformers. Your primary duties will involve designing and refining AI-generated text prompts, utilizing LangChain for various AI applications, and integrating LlamaIndex to enhance AI solutions. Furthermore, you will work with vector databases and cache databases to efficiently manage large-scale AI data, as well as develop and integrate multi-modal foundation models to support diverse AI applications. Your role will also include applying AI-specific utilities and data analysis methods to improve AI models, developing and managing LLM agents, and collaborating with cross-functional teams to integrate AI solutions into broader applications. To excel in this role, you should have proven hands-on experience with LangChain, proficiency in vector databases and cache databases, and familiarity with multi-modal foundation models and relevant frameworks. Additionally, expertise in designing AI-generated text prompts, using AI utilities such as ChatGPT and Hugging Face Transformers, and developing intelligent agents are essential qualifications. Strong problem-solving, analytical, communication, and collaboration skills are also required to succeed in this fast-paced and innovative environment. If you have a passion for AI technologies, a drive for innovation, and a desire to contribute to cutting-edge AI solutions, this role as a Gen AI Engineer in Indore/Pune could be the perfect opportunity for you.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence. Job Description Position Summary Seeking a GCP Cloud Engineer to design, deploy, and manage cloud infrastructure on Google Cloud Platform while supporting development teams with scalable solutions. Key Responsibilities Design and manage GCP infrastructure (Compute Engine, GKE, Cloud Run, networking) Implement CI/CD pipelines and infrastructure as code (Terraform preferred) Configure monitoring, logging, and security using Cloud Operations Suite Automate deployments and maintain disaster recovery procedures Collaborate with dev teams on architecture and troubleshooting Required Qualifications 5/3+ years GCP experience with core services (Compute, Storage, Cloud SQL, BigQuery) Strong Kubernetes/Docker and networking knowledge Proficiency in Terraform and scripting (Python/Bash) Experience with CI/CD tools and cloud migrations Experience with Github GCP Associate/Professional certification preferred Bachelor's degree or equivalent experience Preferred Skills Multi-cloud experience (AWS/Azure) Configuration management tools (Ansible, Puppet) Database administration knowledge Cost optimization experience

As a GCP Cloud Engineer at Ascentt, you will play a crucial role in designing, deploying, and managing cloud infrastructure on Google Cloud Platform to provide scalable solutions for our development teams. Your expertise will contribute to turning enterprise data into real-time decisions using advanced machine learning and GenAI, with a focus on solving hard engineering problems with real-world industry impact. Your key responsibilities will include designing and managing GCP infrastructure such as Compute Engine, GKE, Cloud Run, and networking components. You will be expected to implement CI/CD pipelines and infrastructure as code, preferably using Terraform, and configure monitoring, logging, and security using Cloud Operations Suite. Automation of deployments and maintenance of disaster recovery procedures will be essential aspects of your role, along with collaborating closely with development teams on architecture and troubleshooting. To excel in this role, you should possess at least 5 years of GCP experience with core services like Compute, Storage, Cloud SQL, and BigQuery. Strong knowledge of Kubernetes, Docker, and networking is essential, along with proficiency in Terraform and scripting languages such as Python and Bash. Experience with CI/CD tools, cloud migrations, and GitHub is required, and holding GCP Associate/Professional certification would be advantageous. A Bachelor's degree or equivalent experience is also necessary to succeed in this position. Additionally, preferred skills for this role include experience with multi-cloud environments like AWS/Azure, familiarity with configuration management tools such as Ansible and Puppet, database administration knowledge, and expertise in cost optimization strategies. If you are a passionate builder looking to shape the future of industrial intelligence through cutting-edge data analytics and AI/ML solutions, Ascentt welcomes your application to join our team and make a significant impact in the automotive and manufacturing industries.,