995 Data Bricks Jobs - Page 6

0px> Who are we? In one sentence We are seeking a Java Full Stack Architect & People Manager with strong technical depth and leadership capabilities to lead our Java Modernization projects. The ideal candidate will possess a robust understanding of Java Full Stack, Databases and Cloud-based solution delivery , combined with proven experience in managing high-performing technical teams. This role requires a visionary who can translate business challenges into scalable distributed solutions while nurturing talent and fostering innovation. What will your job look like? Lead the design and implementation of Java Full Stack solutions covering Frontend, Backend and Batch processes & interface Integrations across business use cases. Translate business requirements into technical architectures using Azure/AWS Cloud Platforms . Manage and mentor a multidisciplinary team of engineers, Leads and Specialists . Drive adoption of Databricks , Python In addition to Java-based frameworks within solution development. Collaborate closely with product owners, data engineering teams, and customer IT & business stakeholders. Ensure high standards in code quality, system performance, and model governance . Track industry trends and continuously improve the technology stack adopting newer trends showcasing productization, automation and innovative ideas. Oversee end-to-end lifecycle: use case identification, PoC, MVP, production deployment, and support. Define and monitor KPIs to measure team performance and project impact. All you need is... 13+ years of overall IT experience with a strong background in Telecom domain (preferred). Proven hands-on experience with Java Full Stack technologies and Cloud DBs Strong understanding of Design Principles and patterns for distributed applications OnPrem as well as OnCloud . Demonstrated experience in building and deploying on Azure or AWS via CI/CD practices . Strong expertise in Java, Databases, Python, Kafka and Linux Scripting . In-depth understanding of cloud-native architecture , microservices , and data pipelines . Solid people management experience: team building, mentoring, performance reviews. Strong analytical thinking and communication skills. Ability to be Hands-On with Coding, Reviews while Development and Production Support Good to Have Skills: Familiarity with Databricks, PySpark Familiarity of Snowflake Why you will love this job: You will be challenged with leading and mentoring a few development teams & projects You will join a strong team with lots of activities, technologies, business challenges and a progression path You will have the opportunity to work with the industry most advanced technologies

Required Skill SetMust-Have: Strong experience with AWS Cloud Services (S3, Lambda, Glue, EMR, Redshift, etc.) Proficiency in Python and PySpark for data engineering tasks Strong SQL skills and a solid understanding of data warehousing concepts Experience in designing, developing, and maintaining ETL pipelines Good-to-Have: Working knowledge of Databricks or Apache Spark Familiarity with Terraform and/or AWS CloudFormation Excellent analytical, problem-solving, and communication skills Job ResponsibilitiesPrimary: Design, develop, and manage scalable ETL pipelines using AWS services Handle structured and semi-structured data using Python and PySpark Develop complex SQL queries for data transformation and reporting Collaborate effectively with data architects, analysts, and stakeholders Ensure best practices in terms of cost, security, and cloud resource documentation Secondary: Exposure to DevOps and CI/CD practices Experience with Databricks or other big data platforms Working knowledge of AWS monitoring and logging services (e.g., CloudWatch)

Databricks and AWS (S3, Glue, EMR, Kinesis, Lambda, IAM, CloudWatch). • Primary language: Python; strong skills in Spark SQ

Apply Now: https://lnkd.in/dXm2vCAx Responsibilities: * Design, develop & maintain data pipelines using Python, PySpark & SQL. * Optimize performance through Azure cloud services & Data Bricks. Office cab/shuttle Food allowance Provident fund Health insurance Annual bonus

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture and platform functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay updated with industry trends and technologies.- Assist in the documentation of data platform processes and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with cloud data services and data warehousing solutions.- Strong understanding of data integration techniques and ETL processes.- Familiarity with data modeling concepts and practices.- Experience in working with big data technologies and frameworks. Additional Information:- The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - S&C GN AI - Insurance AI Generalist- Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Generative AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Who we are looking for 5+ years experience in data-driven techniques including exploratory data analysis, data pre-processing, machine learning, and visualization to solve business problems Bachelor's/Masters degree in Mathematics, Statistics, Economics , Computer Science, or related field Solid foundation in Statistical Modeling, Machine Learning algorithms Advanced proficiency in programming languages such as Python, PySpark, SQL, Scala Experience implementing AI solutions for Insurance industry Experience in production-grade integration of AI/ML pipelines either upstream (data modeling, engineering, management) or downstream (ML Ops in cloud or on-prem, UI integration with APIs, Visualization in Tableau/PowerBI) required; experience in full-stack implementations preferred Strong communication, collaboration and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Hands-on experience with Azure, AWS or Databricks tools is a plus Familiarity with GenAI, LLMs, RAG architecture and Lang chain frameworks is a plus Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE Project Role :Software Development Engineer Project Role Description :Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have Skills :PySparkGood to Have Skills :No Industry SpecializationJob :Key Responsibilities :Overall 8 years of experience working in Data Analytics projects, Work on client projects to deliver AWS, PySpark, Databricks based Data engineering Analytics solutions Build and operate very large data warehouses or data lakes ETL optimization, designing, coding, tuning big data processes using Apache Spark Build data pipelines applications to stream and process datasets at low latencies Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience :Minimum of 2 years of experience in Databricks engineering solutions on any of the Cloud platforms using PySpark Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture delivery Minimum 3 year of Experience in one or more programming languages Python, Java, Scala Experience using airflow for the data pipelines in min 1 project 2 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform. Must be able to understand ETL technologies and translate into Cloud (AWS, Azure, Google Cloud) native tools or Pyspark. Professional Attributes :1 Should have involved in data engineering project from requirements phase to delivery 2 Good communication skill to interact with client and understand the requirement 3 Should have capability to work independently and guide the team. Educational Qualification:Additional Info : Qualification BE

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 2 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the organization. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the organization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Who We Are For 20 years, we have been working with organizations large and small to help solve business challenges through technology. We bring a unique combination of engineering and strategy to Make Data Work for organizations. Our clients range from the travel and leisure industry to publishing, retail and banking. The common thread between our clients is their commitment to making data work as seen through their investment in those efforts. In our quest to solve data challenges for our clients, we work with large enterprise, cloud-based and marketing technology suites. We have a deep understanding of these solutions so we can help our clients make the most of their investment in an efficient way to have a data-driven business. Softcrylic now joins forces with Hexaware to Make Data Work in bigger ways! Why Work at Softcrylic? Softcrylic provides an engaging, team-focused, and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients. Work Timing: 12:30 pm to 9:30 pm (Flexible in work timing) Why Work at Softcrylic? Softcrylic provides an engaging, team-focused, and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients. Work Timing: 12:30 pm to 9:30 pm (Flexible in work timing) Here's how to approach the interview: All technical interview rounds will be conducted virtually. The final round will be a face-to-face interview with HR in Chennai. However, there will be a 15-minute technical assessment/in-person technical discussion as part of the final round. Make sure to prepare accordingly for both virtual and in-person components. Job Description: Key Responsibilities: 1. Data Pipeline Development: Design, develop, and maintain large-scale data pipelines using Databricks, Apache Spark, and AWS. 2. Data Integration: Integrate data from various sources into a unified data platform using dbt and Apache Spark. 3. Graph Database Management: Design, implement, and manage graph databases to support complex data relationships and queries. 4. Data Processing: Develop and optimize data processing workflows using Python, Apache Spark, and Databricks. 5. Data Quality: Ensure data quality, integrity, and security across all data pipelines and systems. 6. Team Management: Lead and manage a team of data engineers, providing guidance, mentorship, and support. 7. Agile Scrum: Work with product owners, product managers, and stakeholders to create product roadmaps, schedule and estimate tasks in sprints, and ensure successful project delivery. Mandatory Skills: 1. Databricks: Experience with Databricks platform, including data processing, analytics, and machine learning. 2. AWS: Experience with AWS services, including S3, Glue, and other relevant services. 3. Python: Proficiency with Python programming language for data processing, analysis, and automation. 4. Graph Database: Experience with graph databases, such as Neo4j, Amazon Neptune, or similar. 5. Apache Spark: Experience with Apache Spark for large-scale data processing and analytics. 6. dbt (Data Build Tool): Experience with dbt for data transformation, modeling, and analytics. 7. Agile Scrum: Experience with Agile Scrum methodologies, including sprint planning, task estimation, and backlog management. Optional Skills: 1. dlt(Data Load Tool): Experience with data load tools for efficiently loading data into target systems. 2. Kubernetes: Experience with Kubernetes for container orchestration and management. 3. Bash Scripting: Proficiency with Bash scripting for automation and task management. 4. Linux: Experience with Linux operating system, including command-line interface and system administration.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : EPIC Systems Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot software problems, analyzing system performance, and ensuring that applications run smoothly to support business operations effectively. You will engage with users to understand their challenges and work diligently to implement solutions that enhance system functionality and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of application support processes to improve efficiency.- Provide training and support to junior team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in EPIC Systems.- Strong analytical skills to diagnose and resolve software issues.- Experience with troubleshooting and debugging applications.- Familiarity with system integration and data flow management.- Ability to communicate technical information effectively to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in EPIC Systems.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationMust Have; Azure Data Factory SQL Azure Data Lake Storage Data Engineering Solutions Structured and Unstructured Data Processing Data Modelling, Analysis, Design, Development, and Documentation Cloud Computing CI/CD DevOps Good to Have (Minimum of 3) Azure DevOps PowerApps Azure Function App Databricks PowerBI (advanced knowledge) Python Airflow DAG Infra deployments (Azure, Bicep) Networking & security Scheduling for Orchestration of Workflows Agile Frameworks (Scrum) Qualification 15 years full time education

Project Role : Application Architect Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Architect, you will provide functional and/or technical expertise to plan, analyze, define, and support the delivery of future functional and technical capabilities for an application or group of applications. You will also assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the design and implementation of application solutions.- Ensure compliance with architectural standards and guidelines.- Identify opportunities for process improvement and innovation.- Mentor junior team members to enhance their skills. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of cloud-based data analytics platforms.- Experience in designing and implementing scalable data solutions.- Proficient in data modeling and database design.- Hands-on experience with data integration and ETL processes. Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in problem-solving sessions, contributing your insights and expertise to develop effective solutions that align with the overall data strategy of the organization. Your role will require you to stay updated with the latest trends in data engineering and analytics, ensuring that the data platform remains robust and efficient. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay abreast of industry trends and technologies.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and tools.- Experience with cloud-based data storage solutions.- Familiarity with data modeling concepts and best practices.- Ability to troubleshoot and optimize data workflows. Additional Information:- The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Manufacturing Engineering MES Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with various teams to ensure that the software meets the required specifications and quality standards. You will apply your knowledge of technologies and methodologies to support projects effectively, ensuring that all aspects of the software development process are executed smoothly and efficiently. Engaging with stakeholders, you will gather requirements and provide insights that drive the project forward, while also mentoring team members to enhance their skills and performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Manufacturing Engineering MES.- Good To Have Skills: Experience with software development methodologies such as Agile or Scrum.- Strong understanding of system integration and data flow within manufacturing environments.- Experience with programming languages relevant to MES development.- Familiarity with database management systems and data analytics tools. Additional Information:- The candidate should have minimum 7.5 years of experience in Manufacturing Engineering MES.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : PySpark, Python (Programming Language), Talend ETLMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for utilizing your expertise in Databricks Unified Data Analytics Platform to develop efficient and effective solutions. Your typical day will involve collaborating with the team, analyzing business requirements, designing and implementing applications, and ensuring the applications meet the desired functionality and performance standards. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design, build, and configure applications based on business process and application requirements.- Analyze business requirements and translate them into technical specifications.- Collaborate with cross-functional teams to ensure the successful implementation of applications.- Perform code reviews and provide guidance to junior developers.- Stay updated with the latest industry trends and technologies to continuously improve application development processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Python (Programming Language), Talend ETL, PySpark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Python (Programming Language), PySpark, Apache SparkMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for utilizing the Databricks Unified Data Analytics Platform to develop efficient and effective applications. Your typical day will involve collaborating with the team, analyzing business requirements, designing application solutions, and configuring applications to meet the needs of the organization. You will also be involved in troubleshooting and resolving any application issues that arise, ensuring the smooth functioning of the applications. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design and build applications using the Databricks Unified Data Analytics Platform.- Configure applications to meet business process and application requirements.- Analyze business requirements and translate them into application solutions.- Troubleshoot and resolve any application issues that arise.- Collaborate with the team to ensure the smooth functioning of applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Python (Programming Language), PySpark, Apache Spark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - Data Eng, Mgmt. & Governance - Analyst S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary : As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field. This position is based at our Hyderabad office. About Our Company | AccentureQualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors or masters degree in any engineering stream or MCA.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationMust Have; Azure Data Factory SQL Azure Data Lake Storage Data Engineering Solutions Structured and Unstructured Data Processing Data Modelling, Analysis, Design, Development, and Documentation Cloud Computing CI/CD DevOps Good to Have (Minimum of 3) Azure DevOps PowerApps Azure Function App Databricks PowerBI (advanced knowledge) Python Airflow DAG Infra deployments (Azure, Bicep) Networking & security Scheduling for Orchestration of Workflows Agile Frameworks (Scrum) Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- 15 years full time education is required. Qualification 15 years full time education