996 Data Bricks Jobs - Page 37

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- S&C GN AI - Insurance Title:- Decision Science Specialist Job location:- Anywhere in India About S&C - Global Network:- Accenture Global Network – Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain – from Underwriting to Claims to Servicing and Enterprise Functions – to develop analytic capabilities – from accessing and reporting on data to predictive modelling to Generative AI – that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S 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. You'll 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 Qualifications 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/Master’s 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

Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- S&C GN AI - Insurance Title:- Decision Science Specialist Job location:- Anywhere in India About S&C - Global Network:- Accenture Global Network Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain from Underwriting to Claims to Servicing and Enterprise Functions to develop analytic capabilities from accessing and reporting on data to predictive modelling to Generative AI that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S 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 Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll 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 Qualifications Who we are looking for?2-4 years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problemsBachelors/Masters degree in Mathematics, Statistics, Economics , Computer Science, or related fieldSolid foundation in Statistical Modeling, Machine Learning algorithms, GenAI, LLMs, RAG architecture and Lang chain frameworksProficiency in programming languages such as Python, PySpark, SQL or ScalaStrong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders, as well as to engineer high-quality promptsIn-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure/ AWS are highly desirablePrior Insurance industry experience is preferred

Project Role : Technology Architect Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Cloud Data Architecture Minimum 5 year(s) of experience is required Educational Qualification : BE or MCA Summary :As a Technology Architect, you will be responsible for reviewing and integrating all application requirements, including functional, security, integration, performance, quality, and operations requirements. Your typical day will involve reviewing and integrating technical architecture requirements, providing input into final decisions regarding hardware, network products, system software, and security. Roles & Responsibilities:Should have a minimum of 8 years of experience in Databricks Unified Data Analytics Platform. Good experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform Should have strong educational background in technology and information architectures, along with a proven track record of delivering impactful data-driven solutions. Strong requirement analysis and technical solutioning skill in Data and Analytics Client facing role in terms of running solution workshops, client visits, handled large RFP pursuits and managed multiple stakeholders. Technical Experience:6 or more years of experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform. 2 or more years of experience using Python, PySpark or Scala. Experience in Databricks on cloud. Exp in any of AWS, Azure or GCPe, ETL, data engineering, data cleansing and insertion into a data warehouse Must have Skills like Databricks, Cloud Data Architecture, Python Programming Language, Data Engineering. Professional Attributes:Excellent writing, communication and presentation skills. Eagerness to learn and develop self on an ongoing basis. Excellent client facing and interpersonal skills. Qualifications BE or MCA

Role & responsibilities 1. Pipeline Development and Support Design, build, and optimize scalable ETL pipelines on Databricks using PySpark, SQL, and Delta Lake. Work with structured and semi-structured insurance data (policy, claims, actuarial, risk, customer data) from multiple sources. Implement data quality checks, governance, and monitoring across pipelines. Collaborate with data scientists, actuaries, and business stakeholders to translate analytics requirements into data models. Develop and deliver compelling visualizations and dashboards using Databricks SQL, Power BI, Tableau, or similar tools. Monitor and troubleshoot pipeline issues, ensuring data integrity and resolving bottlenecks or failures. Optimize Databricks clusters for performance and cost efficiency. Support ML model deployment pipelines in collaboration with data science teams. Document pipelines, workflows, and architecture following best practices. 2. SQL Write complex SQL queries to extract, transform, and load (ETL) data for reporting, analytics, or downstream applications. Optimize SQL queries for performance, especially when working with large datasets in Snowflake or other relational databases. Create and maintain database schemas, tables, views, and stored procedures to support business requirements. 3. Data Integration Integrate data from diverse sources (e.g., on-premises databases, cloud storage like S3 or Azure Blob, or third-party APIs) into a unified system. Ensure data consistency, quality, and availability by implementing data validation and cleansing processes. 4. Good to have skills Insurance domain experience P&C or L&A domain experience candidate will be preferred Team player / strong communication skills Experience with MLflow, feature stores, and model monitoring. Hands-on experience with data governance tools (e.g., Unity Catalog, Collibra). Familiarity with regulatory and compliance requirements in insurance data. Skills Typically Required 5+ years of experience in data engineering, with at least 2+ years hands-on with Databricks and Spark. Strong proficiency in PySpark, SQL, Delta Lake, and data modeling. Solid understanding of cloud platforms (Azure, AWS, or GCP) and data lake architectures. Experience integrating Databricks with BI tools (Power BI, Tableau, Looker) for business-facing dashboards. Knowledge of insurance data (L&A, P&C) and industry metrics is highly preferred. Familiarity with DevOps tools (Git, CI/CD pipelines) and orchestration tools (Airflow, Databricks Jobs). Strong communication skills to explain technical concepts to business stakeholders

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 : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Roles & Responsibilities: Assist with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data pipelines and ETL processes using Databricks Unified Data Analytics Platform. Design and implement data security and access controls for the data platform. Troubleshoot and resolve issues related to the data platform and data pipelines. Professional & Technical Skills: Must To Have Skills:Experience with Databricks Unified Data Analytics Platform. Must To Have Skills:Strong understanding of data modeling and database design principles. Good To Have Skills:Experience with cloud-based data platforms such as AWS or Azure. Good To Have Skills:Experience with data security and access controls. Good To Have Skills:Experience with data visualization tools such as Tableau or Power BI. Additional Information: The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bangalore, Hyderabad, Chennai and Pune Offices. Mandatory office (RTO) for 2- 3 days and have to work on 2 shifts (Shift A- 10:00am to 8:00pm IST and Shift B - 12:30pm to 10:30 pm IST) Qualifications Engineering graduate preferably Computer Science graduate 15 years of 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 : NA Minimum 7.5 year(s) of experience is required Educational Qualification : BTech or Equivalent Min 15 years of education Summary :As an AI Advisor, you will be responsible for driving business outcomes for clients through analytics using Databricks Unified Data Analytics Platform. Your typical day will involve supporting delivery leads, account management, and operational excellence teams to deliver client value through analytics and industry best practices. Roles & Responsibilities: Lead the development and deployment of advanced analytics solutions using Databricks Unified Data Analytics Platform. Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights. Collaborate with cross-functional teams, applying expertise in diverse analytics techniques, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Experience with Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools. Experience in implementing various analytics techniques 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. The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech or Equivalent Min 15 years of 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), Microsoft Azure Databricks, Microsoft Azure Data Services Minimum 12 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 creating efficient and scalable applications that align with the organization's goals and objectives. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing innovative solutions to meet customer needs. You will also be involved in testing, debugging, and troubleshooting applications to ensure their smooth functioning and optimal 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. Expected to provide solutions to problems that apply across multiple teams. Develop and maintain high-quality software applications. Collaborate with business analysts and stakeholders to gather and analyze requirements. Design and implement application features and enhancements. Perform code reviews and ensure adherence to coding standards. Troubleshoot and debug application issues. Optimize application performance and scalability. Conduct unit testing and integration testing. Document application design, functionality, and processes. Stay updated with emerging technologies and industry trends. Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform, Python (Programming Language), Microsoft Azure Databricks, Microsoft Azure Data Services. 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 12 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. Qualifications 15 years full time education

If interested pls share the below details on PriyaM4@hexaware.com Total Exp CTC ECTC NP Loc MUST Have skill- Unity Catalog We are looking for a skilled Sr Data Engineer /with expertise in Databricks and Unity Catalog to design, implement, and manage scalable data solutions. Key Responsibilities: • Design and implement scalable data pipelines and ETL workflows using Databricks. • Implement Unity Catalog for data governance, access control, and metadata management across multiple workspaces. • Develop Delta Lake architectures for optimized data storage and retrieval. • Establish best practices for data security, compliance, and lineage tracking in Unity Catalog. • Optimize data lakehouse architecture for performance and cost efficiency. • Collaborate with data scientists, engineers, and business teams to support analytical workloads. • Monitor and troubleshoot Databricks clusters, performance tuning, and cost management. • Implement data quality frameworks and observability solutions to maintain high data integrity. • Work with Azure/AWS/GCP cloud environments to deploy and manage data solutions. Required Skills & Qualifications: • 8-19 years of experience in data engineering, data architecture, or cloud data solutions. • Strong hands-on experience with Databricks and Unity Catalog. • Expertise in PySpark, Scala, or SQL for data processing. • Deep understanding of Delta Lake, Lakehouse architecture, and data partitioning strategies. • Experience with RBAC, ABAC, and access control mechanisms within Unity Catalog. • Knowledge of data governance, compliance standards (GDPR, HIPAA, etc.), and audit logging. • Familiarity with cloud platforms (Azure, AWS, or GCP) and their respective data services. • Strong understanding of CI/CD pipelines, DevOps, and Infrastructure as Code (IaC). • Experience integrating BI tools (Tableau, Power BI, Looker) and ML frameworks is a plus. • Excellent problem-solving, communication, and collaboration skills.

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 : Google BigQuery Minimum 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 shaping the data platform components. 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. Collaborate with Integration Architects and Data Architects to design and implement data platform components. Ensure seamless integration between various systems and data models. Develop and maintain data platform blueprints. Implement data governance policies and procedures. Conduct performance tuning and optimization of data platform components. Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform. Good To Have Skills:Experience with Google BigQuery. Strong understanding of data platform architecture and design principles. Hands-on experience in implementing data pipelines and ETL processes. Proficient in SQL and other query languages. Knowledge of cloud platforms such as AWS or Azure. Additional Information: The candidate should have a minimum of 3 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. Qualifications 15 years full time education

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 : NA Minimum 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 Requirements :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 : Qualifications 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 : NA Minimum 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, 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. Qualifications 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 : NA Minimum 3 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. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. 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. Ensure cohesive integration between systems and data models. Implement data platform components. Troubleshoot and resolve data platform issues. 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 3 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. Qualifications 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 : NA Minimum 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 Bengaluru office. 15 years full time education is required. Qualifications 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 : NA Minimum 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. Qualifications 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 : NA Minimum 3 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. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. 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. Ensure cohesive integration between systems and data models. Implement data platform components. Troubleshoot and resolve data platform issues. 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 3 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. Qualifications 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 : NA Minimum 3 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. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. 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. Ensure cohesive integration between systems and data models. Implement data platform components. Troubleshoot and resolve data platform issues. Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of data platform blueprint and design. Experience with data integration and data modeling. Hands-on experience with data platform components. Knowledge of data platform security and governance. Additional Information: The candidate should have a minimum of 3 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. Qualifications 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 :NA Minimum 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, 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 Pune office. A 15 years full time education is required. Qualifications 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 : NA Minimum 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 to improve application performance and scalability. 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 solutions. Experience in designing and implementing scalable data architectures. Knowledge of data governance and security best practices. 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 Bengaluru office. A 15 years full-time education is required. Qualifications 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 : NA Minimum 3 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 shaping the data platform components. 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. Collaborate with cross-functional teams to design and implement data platform solutions. Develop and maintain data pipelines for efficient data processing. Optimize data storage and retrieval processes for improved performance. Implement data security measures to protect sensitive information. Conduct regular data platform performance evaluations and make recommendations for improvements. Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of cloud-based data platforms. Experience with data modeling and database design. Hands-on experience with ETL processes and tools. Knowledge of data governance and compliance standards. Additional Information: The candidate should have a minimum of 3 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. Qualifications 15 years full time education

DESCRIPTION Key Responsibilities: Conduct descriptive and diagnostic analytics on data sources. Apply machine learning tools on data and metadata to improve data quality. Identify patterns and trends in data sets. Create reports and dashboards on analysis results using business intelligence technologies. Develop data profiles for data tables and elements in the data lake. Create data catalog entries and ensure data catalog metadata quality. Analyze diverse data sets to identify data quality, coherency, and integrability issues and reduce data redundancy. Collaborate to develop data cleansing methods and rules. Assist in the creation and maintenance of documentation of key decisions, rules, controls, and processes. RESPONSIBILITIES Qualifications: College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications. Data Analytics: Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions relying on knowledge of business or functional frameworks; simultaneously applying statistics, data validity, data visualization, and problem-solving approaches to effectively extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions. Data Communication and Visualization: Constructing a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards. Data Literacy: Expressing data in context, including data sources and constructs, analytical methods, and applied techniques; describing the use-case application and resulting value. Data Profiling: Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishing good, quality data. Data Quality: Identifying, understanding, and correcting flaws in data that supports effective information governance across operational business processes and decision-making. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization. QUALIFICATIONS Skills: Demonstrated experience as a Data Analyst or in a related data-centric role. Proficiency in SQL (preferably SQL Server) for querying and manipulating data. Practical experience with Databricks for tasks related to data engineering, data science, and analytics. Experience working with Databricks Lakehouse architecture and data warehousing concepts. Knowledge of Azure cloud services, including Azure Data Factory and Azure SQL Database. Expertise in Python programming. Skilled in using PowerBI to create interactive reports, dashboards, and visualizations, with familiarity in SSAS models. Strong analytical mindset with excellent problem-solving skills and keen attention to detail. Good communication skills, capable of conveying complex data insights clearly to non-technical stakeholders. Experience: Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. Knowledge of the latest technologies and trends in data science is highly preferred and includes: SQL query language execution on NoSQL and SQL sources. Exposure to Agile software development. Exposure to IoT technology. Data profiling tools, technologies, and coding. Data catalog tools and technologies. Business intelligence tools and technologies. Exposure to Big Data open source. Clustered compute cloud-based implementation experience.

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 : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Roles & Responsibilities: Assist with the blueprint and design of the data platform components using Databricks Unified Data Analytics Platform. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data pipelines using Databricks Unified Data Analytics Platform. Design and implement data security and access controls using Databricks Unified Data Analytics Platform. Troubleshoot and resolve issues related to data platform components using Databricks Unified Data Analytics Platform. Professional & Technical Skills: Must To Have Skills:Experience with Databricks Unified Data Analytics Platform. Must To Have Skills:Strong understanding of data modeling and database design principles. Good To Have Skills:Experience with cloud-based data platforms such as AWS or Azure. Good To Have Skills:Experience with data security and access controls. Good To Have Skills:Experience with data pipeline development and maintenance. Additional Information: The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bangalore, Hyderabad, Chennai and Pune Offices. Mandatory office (RTO) for 2- 3 days and have to work on 2 shifts (Shift A- 10:00am to 8:00pm IST and Shift B - 12:30pm to 10:30 pm IST) Qualifications Engineering graduate preferably Computer Science graduate 15 years of 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 : NA Minimum 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. Qualifications 15 years full time education

ROLE SUMMARY Reporting to the Head of Architecture & Engineering APAC, your role as a BI Analyst is responsible for leveraging business intelligence platforms to generate insights, reports, analytics and dashboards. By collaborating with stakeholders within Client ecosystem, you will work to translate business needs into data-driven solutions that support informed decision-making. You will leverage your business acumen and act as a liaison between the technology team and various business units and stakeholders to understand their requirements, key objectives and strategic goals and translate into technical BI solutions; Develop and maintain data-driven reports and visualizations utilising your expertise with PowerBI/Tableau/Sigma. PRIMARY ROLE Collaborating with departments to understand reporting needs and recommend best practices. Analyze large data sets, develop interactive dashboards, and present insights to stakeholders. Carry out data ingestion, star schema data modelling, and visualization to create impactful reports. Develop comprehensive BI dashboards following best practices. Improve and optimize existing Power BI solutions to enhance performance and usability. Leverage SQL skills for advanced data querying and analysis. Conduct data profiling, cleansing, and validation activities to ensure data quality. KEY WORKING RELATIONSHIPS External: Development & Integration partners Technology and Cyber Security partners Cloud and application vendors Client Portfolio Companies Internal: CTO APAC Heads of Architecture & Engineering, Workplace and Service Delivery DevOps engineers Internal business stakeholders WHAT YOU BRING TO THE ROLE Required: 3-5 years experience in a Data engineering and Report development roles. Demonstrable experience in Data Extraction, Manipulation and Visualization. Strong Data Mapping skills, including Source to Target. Strong Power BI and report development skills and experience. Experience with Snowflake and/or Data Bricks. Proven experience partnering with business stakeholders, conceptualizing business objectives and processes, documenting and translating business requirements into technical specifications. Skilled in producing Data flows and models. Exceptional communication and stakeholder engagement skills. Attention to detail and ability to analyses data from diverse application sources and write efficient, effective SQL to handle complex scenarios, providing required outputs under time pressures. Strong ETL development experience, drawing data from disparate systems. Preferred: A degree in Computer science, Mathematics or Statistics. Experience and competency with Sigma or Tableau would also be beneficial. Experience in using cloud technologies such as Azure. Experience with developing Data Governance and Classification framework. Exposure to Machine Learning, AI and Big data.

Education: A Bachelors degree in Computer Science, Engineering (B.Tech, BE), or a related field such as MCA (Master of Computer Applications) is required for this role. Experience: 8+ years in data engineering with a focus on building scalable and reliable data infrastructure. Skills: Language: Proficiency in Java or Python or Scala. Prior experience in Oil Gas, Titles Leases, or Financial Services is a must have. Databases: Expertise in relational and NoSQL databases like PostgreSQL, MongoDB, Redis, and Elasticsearch. Data Pipelines: Strong experience in designing and implementing ETL/ELT pipelines for large datasets. Tools: Hands-on experience with Databricks, Spark, and cloud platforms. Data Lakehouse: Expertise in data modeling, designing Data Lakehouses, and building data pipelines. Modern Data Stack: Familiarity with modern data stack and data governance practices. Data Orchestration: Proficient in data orchestration and workflow tools. Data Modeling: Proficient in modeling and building data architectures for high-throughput environments. Stream Processing: Extensive experience with stream processing technologies such as Apache Kafka. Distributed Systems: Strong understanding of distributed systems, scalability, and availability. DevOps: Familiarity with DevOps practices, continuous integration, and continuous deployment (CI/CD). Problem-Solving: Strong problem-solving skills with a focus on scalable data infrastructure. Key Responsibilities: This is a role with high expectations of hands on design and development. Design and development of systems for ingestion, persistence, consumption, ETL/ELT, versioning for different data types e.g. relational, document, geospatial, graph, timeseries etc. in transactional and analytical patterns. Drive the development of applications related to data extraction, especially from formats like TIFF, PDF, and others, including OCR and data classification/categorization. Analyze and improve the efficiency, scalability, and reliability of our data infrastructure. Assist in the design and implementation of robust ETL/ELT pipelines for processing large volumes of data. Collaborate with cross-functional scrum teams to respond quickly and effectively to business needs. Work closely with data scientists and analysts to define data requirements and develop comprehensive data solutions. Implement data quality checks and monitoring to ensure data integrity and reliability across all systems. Develop and maintain data models, schemas, and documentation to support data-driven decision-making. Manage and scale data infrastructure on cloud platforms, leveraging cloud-native tools and services. Benefits: Salary: Competitive and aligned with local standards. Performance Bonus: According to company policy. Benefits: Includes medical insurance and group term life insurance. Continuous learning and development.10 recognized public holidays. Parental Leave

AHEAD is looking for a Senior Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Senior Data Engineer will be responsible for strategic planning and hands-on engineering of Big Data and cloud environments that support our clients advanced analytics, data science, and other data platform initiatives. This consultant will design, build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. They will be expected to be hands-on technically, but also present to leadership, and lead projects. The Senior Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Senior Data Engineer, you will design and implement data pipelines to enable analytics and machine learning on rich datasets. Roles and Responsibilities A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases Engineers and supports data structures including but not limited to SQL and NoSQL databases Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop) Engineers APIs for returning data from these structures to the Enterprise Applications Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions Respond to customer/team inquiries and assist in troubleshooting and resolving challenges Works with other scrum team members to estimate and deliver work inside of a sprint Research data questions, identifies root causes, and interacts closely with business users and technical resources Qualifications 8+ years of professional technical experience 4+ years of hands-on Data Architecture and Data Modelling. 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake 4+ years of programming languages such as Python 2+ years of experience working in cloud environments (AWS and/or Azure) Strong client-facing communication and facilitation skills Key Skills Python, Cloud, Linux, Windows, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Snowflake, SQL/RDBMS, OLAP, Data Engineering