320 Data Lake Jobs - Page 12

We are looking for a skilled Solution Architect with 10 to 15 years of experience to join our team in Bengaluru. The role involves designing and implementing scalable, reliable, and high-performing data architecture solutions. ### Roles and Responsibility Design and develop data architecture solutions that meet business requirements. Collaborate with stakeholders to identify needs and translate them into technical data solutions. Provide technical leadership and support to software development teams. Define and implement data management policies, procedures, and standards. Ensure data quality and integrity through data cleansing and validation. Develop and implement data security and privacy policies, ensuring compliance with regulations like GDPR and HIPAA. Design and implement data migration plans from legacy systems to the cloud. Build data pipelines and workflows using Azure services such as Azure Data Factory, Azure Databricks, and Azure Stream Analytics. Develop and maintain data models and database schemas aligned with business requirements. Evaluate and select appropriate data storage technologies including Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage. Troubleshoot data-related issues and provide technical support to data users. Stay updated on the latest trends and developments in data architecture and recommend improvements. Coordinate and interact with multiple teams for smooth operations. ### Job Requirements Proven experience as a Technical/Data Architect with over 10 years of product/solutions development experience. Hands-on experience with software/product architecture, design, development, testing, and implementation. Excellent communication skills, problem-solving aptitude, organizational, and leadership skills. Experience with Agile development methodology and strategic development/deployment methodologies. Understanding of source control (Git/VSTS), continuous integration/continuous deployment, and information security. Hands-on experience with Cloud-based (Azure) product/platform development and implementation. Good experience in designing and working with Data Lakes, Data Warehouses, and ETL tools (Azure based). Expertise in Azure Data Analytics with a thorough understanding of Azure Data Platform tools. Hands-on experience and good understanding of Azure services like Data Factory, Data Bricks, Synapse, Data Lake Gen2, Stream Analytics, Azure Spark, Azure ML, SQL Server DB, Cosmos DB. Hands-on experience in Information management and Business Intelligence projects, handling huge client data sets with functions including transfer, ingestion, processing, analyzing, and visualization. Excellent communication and problem-solving skills, and the ability to work effectively in a team environment.

We are looking for a highly skilled and experienced Senior Data Engineer to join our team, with 3-7 years of experience in modern data ecosystems. The ideal candidate will have hands-on proficiency in Informatica CDI, Azure Data Factory (ADF), Azure Data Lake (ADLS), and Databricks. ### Roles and Responsibility Provide daily Application Management Support for the full data stack, addressing service requests, incidents, enhancements, and changes. Lead and coordinate resolution of complex data integration and analytics issues through thorough root cause analysis. Collaborate with technical and business stakeholders to support and optimize data pipelines, models, and dashboards. Maintain detailed documentation including architecture diagrams, troubleshooting guides, and test cases. Remain flexible for shift-based work or on-call duties depending on client needs and critical business periods. Ensure seamless operation of data platforms and timely resolution of incidents. ### Job Requirements Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field, or equivalent work experience. Strong understanding of data governance, performance tuning, and cloud-based data architecture best practices. Excellent stakeholder collaboration skills to translate business needs into scalable technical solutions. Solid understanding of data pipeline management and optimization techniques. Experience integrating data from various sources including ERP, CRM, POS, and third-party APIs. Familiarity with DevOps/CI-CD pipelines in a data engineering context. Certifications such as Informatica Certified Developer, Microsoft Certified: Azure Data Engineer Associate, and Databricks Certified Data Engineer are preferred. Passionate, proactive problem solvers with a strong client orientation. Professionals eager to learn and grow in a fast-paced, global delivery environment. A chance to work alongside a world-class, multidisciplinary team delivering data excellence to global businesses.

Reports to : Program Manager- Analytics BI Position summary: A Specialist shall work with the development team and responsible for development task as individual contribution. He/she should be able to mentor team and able to help in resolving issues. He/she should be technical sound and able to communicate with client perfectly. Key duties & responsibilities Work as Lead Developer Data engineering project for E2E Analytics. Ensure Project delivery on time. Mentor other team mates and guide them. Will take the requirement from client and communicate as well. Ensure Timely documents creation for knowledge base, user guides, and other various communications systems. Ensures delivery against Business needs, team goals and objectives, i.e., meeting commitments and coordinating overall schedule. Works with large datasets in various formats, integrity/QA checks, and reconciliation for accounting systems. Leads efforts to troubleshoot and solve process or system related issues. Understand, support, enforce and comply with company policies, procedures and Standards of Business Ethics and Conduct. Experience working with Agile methodology Experience, Skills and Knowledge: Bachelors degree in Computer Science or equivalent experience is required. B.Tech/MCA preferable. Minimum 5 -7 years experience. Excellent communications and strong commitment for delivering the highest level of service Technical Skills Expert knowledge and experience working with Spark, Scala Experience in Azure data Factory ,Azure Data bricks, data Lake Experience working with SQL and Snowflake Experience with data integration tools such as SSIS, ADF Experience with programming languages such as Python Expert in Astronomer Airflow. Experience with programming languages such as Python, Spark, Scala Experience or exposure on Microsoft Azure Data Fundamentals Key competency profile: Own youre a development by implementing and sharing your learnings Motivate each other to perform at our highest level Work the right way by acting with integrity and living our values every day Succeed by proactively identifying problems and solutions for yourself and others. Communicate effectively if there any challenge. Accountability and Responsibility should be there.

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant. The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across TR. At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Software Engineer with a passion for engineering cloud-based data platform systems. Join our dynamic team as a Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will develop and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems. About the Role In this opportunity as the Software Engineer, you will: Develop data processing applications and frameworks on cloud-based infrastructure in partnership with Data Analysts and Architects with guidance from Lead Software Engineer. Innovate with new approaches to meet data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and AWS frameworks, documentation, and usability by stakeholders. Contribute to improving the customer experience. Participate in code reviews to maintain a high-quality codebase Collaborate with cross-functional teams to define, design, and ship new features Work closely with product owners, designers, and other developers to understand requirements and deliver solutions. Effectively communicate and liaise across the data platform & management teams Stay updated on emerging trends and technologies in cloud computing About You You're a fit for the role of Software Engineer, if you meet all or most of these criteria: Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations. Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability. Proficient in Python programming language. Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Good knowledge in Consuming and building APIs Business Intelligence tools like PowerBI Fluency in querying languages such as SQL Solid understanding in Software development practices such as version control via Git, CI/CD and Release management Agile development cadence Good critical thinking, communication, documentation, troubleshooting and collaborative skills. Whats in it For You? Join us to inform the way forward with the latest AI solutions and address real-world challenges in legal, tax, compliance, and news. Backed by our commitment to continuous learning and market-leading benefits, youll be prepared to grow, lead, and thrive in an AI-enabled future. This includes: Industry-Leading Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, and hybrid model, empowering employees to achieve a better work-life balance. Career Development and Growth: ?By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Culture: Globally recognized and award-winning reputation for inclusion, innovation, and customer-focus. Our eleven business resource groups nurture our culture of belonging across the diverse backgrounds and experiences represented across our global footprint. Hybrid Work Model: Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

The Thomson Reuters Financial transformation team instrumenting on implementing and delivering solution relating to digital finance strategies, enterprise performance strategies and technologies solutions. This position will play a key role as part of Performance Management projects, including tech driven transformation with tools like OneStream. About the Role: In this opportunity as EPM Architect (OneStream), you will: 10 -15 years working experience with Enterprise Performance Management Solutions implementation and delivery. Hands on experience in EPM tools: OneStream, Hyperion Experience of involvement in end-to-end implementation of OneStream platform with significant exposure to managing OneStream infrastructure. Design and architect optimal and scalable solutions. Responsible for managing OS Infrastructure (Environment Management, Application Performance) Work with internal team to ensure OS compliance with TR Security Standards (VPN connection, Encryption standards, Security Dashboards etc.) Ensure Application governance across OS environments like code management, artifact management etc. Drive automation initiatives related to above mentioned areas. Experience of data integration methodologies for connecting OneStream platform with other systems like Data Lake, SQL Server, S4 Hana, PowerBI etc. Must demonstrate exceptional analytical skills, and a passion for the insights that result from those analyses, together with a strong understanding of the data and collection processes needed to fuel that analysis. Must have a passion for serving others, work well in a team, be self-motivated, and be a problem-solver. Must have hands on experience of planning, forecasting and month end processes. Good to have Gen AI, Sensible ML knowledge. Power BI and other reporting experience. About you: You're a fit for the role of EPM Architect (OneStream) if your background includes: Leading Financial Planning and Performance Management projects, including tech driven transformation with tools like OneStream, Oracle EPM Lead solution design and development team. Lead ongoing management and optimization of OneStream platforms infrastructure with evolving business requirements. Will work with core OneStream project team during implementation of various processes on the platform Will provide technical knowledge and expertise in the areas of Security, System Integration and application performance management. Should lead the admin activities for OneStream upgradation patches hotfixes.

Hi, We are hiring for the role of AWS Data Engineer with one of the leading organization for Bangalore & Pune. Experience - 10+ Years Location - Bangalore & Pune Ctc - Best in the industry Job Description Technical Skills PySpark coding skill Proficient in AWS Data Engineering Services Experience in Designing Data Pipeline & Data Lake If interested kindly share your resume at nupur.tyagi@mounttalent.com

Strong programming skills in Python or R, with good knowledge in data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, seaborn) Knowledge of machine learning techniques algorithms. FMCG industry will be preferable. Required Candidate profile Hands-on knowledge on machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Proficiency in SQL for data extraction, integration, and manipulation to analyze large datasets. Perks and benefits To be disclosed post interview

Role Description The R&D Data Catalyst Team is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen’s wealth of human datasets, projects and study histories, and knowledge over various scientific findings . These solutions are pivotal tools in Amgen’s goal to accelerate the speed of discovery, and speed to market of advanced precision medications . The S r. Data Engineer will be responsible for the end-to-end development of an enterprise analytics and data mastering solution leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that research cohort-building and advanced research pipeline . The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions , and be exceptionally skilled with data analysis and profiling . You will collaborate closely with stakeholders , product team members , and related I T teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a strong background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities Design and build scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Break down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation from data analysis and profiling, and proposed designs and data logic Develop advanced sql queries to profile, and unify data Develop data processing code in sql , along with semantic views to prepare data for reporting Develop PowerBI Models and reporting packages Design robust data models , and processing layers, that support both analytical processing and operational reporting needs. D esign and develop solutions based on best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Collaborate with stakeholders to define data requirements, functional specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience Master’s degree with 4 to 6 years of experience in Product Owner / Platform Owner / Service Owner OR Bachelor’s degree with 8 to 10 years of experience in Product Owner / Platform Owner / Service Owner Functional Skills: Must-Have Skills Minimum of 3 years of hands-on experience with BI solutions (Preferrable Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 6 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, including model design , DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertise in cloud platforms ( AWS ), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional h ands - on capabilities with data profiling, data transformation, data mastering Success in mentoring and training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role) ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft CertifiedData Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity High est degree of initiative and self-motivation Strong verbal and written communication skills , including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams , specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources

ABOUT THE ROLE Role Description The R&D Data Catalyst Team is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen’s wealth of human datasets, projects and study histories, and knowledge over various scientific findings . These solutions are pivotal tools in Amgen’s goal to accelerate the speed of discovery, and speed to market of advanced precision medications . The Data Architect will be responsible for the end-to-end architecture of an enterprise analytics and data mastering solution leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that research cohort-building and advanced research pipeline . The ideal candidate will have proven experience creating and surfacing large unified repositories of human data, based on integrations from multiple sources and solutions. You will collaborate closely with stakeholders across departments, including data engineering, business intelligence, and IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a strong background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Support development planning by break ing down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation of architectural direction, patterns, and standards Present and train engineers and cross-team collaborators on architecture strategy and patterns Collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing from multiple sources. Design robust data models , and processing layers, that support both analytical processing and operational reporting needs. Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Provide thought leadership and strategic guidance on data architecture, advanced analytics, and data mastering best practices. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Serve as a subject matter expert on Power BI and Databricks, providing technical leadership and mentoring to other teams. Collaborate with stakeholders to define data requirements, architecture specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience Master’s degree with 4 to 6 years of experience in data management and data architecture OR Bachelor’s degree with 6 to 8 years of experience in data management and data architecture Functional Skills: Must-Have Skills Minimum of 3 years of hands-on experience with BI solutions (Preferably Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 7 years of hands-on experience building change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, including model design , DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertise in cloud platforms ( AWS ), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional h ands - on capabilities with data profiling, data transformation, data mastering Success in mentoring and training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role) ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft CertifiedData Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity High est degree of initiative and self-motivation Strong verbal and written communication skills , including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams , specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources

Amgen’s Precision Medicine technology te am is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen’s wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These data include multiomics data (genomics, transcriptomics, proteomics, etc.), clinical study subject measurement and outcome data, images, and specimen inventory data . Our PMED data management , standardization, surfacing, and processing capabilities are pivotal tools in Amgen’s goal to accelerate the speed of discovery, and speed to market of advanced precision medications . The Solution and Data Architect will be responsible for the end-to-end architecture of an enterprise analytics and data mastering solution leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that research cohort-building and advanced research pipeline . The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions. You will collaborate closely with stakeholders across departments, including data engineering, business intelligence, and IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a strong background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Support development planning by break ing down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation of architectural direction, patterns, and standards Present and train engineers and cross-team collaborators on architecture strategy and patterns Collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing from multiple sources. Design robust data models , and processing layers, that support both analytical processing and operational reporting needs. Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Provide thought leadership and strategic guidance on data architecture, advanced analytics, and data mastering best practices. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Serve as a subject matter expert on Power BI and Databricks, providing technical leadership and mentoring to other teams. Collaborate with stakeholders to define data requirements, architecture specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience Master’s degree with 6 to 8 years of experience in data management and data solution architecture Bachelor’s degree with 8 to 10 years of experience in in data management and data solution architecture Diploma and 10 to 12 years of experience in in data management and data solution architecture Functional Skills: Must-Have Skills Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 7 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, including model design , DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertise in cloud platforms ( AWS ), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional h ands - on capabilities with data profiling, data transformation, data mastering Success in mentoring and training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role) ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft CertifiedData Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity High est degree of initiative and self-motivation Strong verbal and written communication skills , including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams , specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources

Associate - Next Gen Forecasting What you will do Let’s do this. Let’s change the world. In this vital role you will support an ambitious program to evolve how Amgen does forecasting, moving from batch processes (e.g., sales forecasting to COGS forecast, clinical study forecasting) to a more continuous process. The hardworking professional we seek is curious by nature, organizationally and data savvy, with a strong record of Finance transformation, partner management and accomplishments in Finance, Accounting, or Procurement. This role will help redesign existing processes to incorporate Artificial Intelligence and Machine Learning capabilities to significantly reduce time and resources needed to build forecasts. As the Next Gen Forecasting Associate at Amgen India, you will support innovation and continuous improvement in Finance’s planning, reporting and data processes with a focus on enhancing current technologies and adapting new technologies where relevant. This individual will collaborate with cross-functional teams and support business objectives. This role reports directly to the Next Gen Forecasting Manager in Hyderabad, India. Roles & Responsibilities: Priorities can often change in a fast-paced technology environment like Amgen’s, so this role includes, but is not limited to, the following: Support implementation of real-time / continuous forecasting capabilities Establish baseline analyses, define current and future state using traditional approaches and emerging digital technologies Identify which areas would benefit most from automation / AI / ML Identify additional process / governance changes to move from batch to continuous forecasting Closely partner with Business, Accounting, FP&A, Technology and other impacted functions to define and implement proposed changes Partners with Amgen Technology function to support both existing and new finance platforms Partners with local and global teams on use cases for Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) Collaborate with cross-functional teams and Centers of Excellence globally to drive operational efficiency Contributes to a learning environment and enhances learning methodologies of technical tools where applicable. Serve as local financial systems and financial data subject matter expert, supporting local team with questions Supports global finance teams and business partners with centrally delivered financial reporting via tableau and other tools Supports local adoption of Anaplan for operating expense planning / tracking What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Finance experience OR Diploma and 4 to 7 years of Finance experience Track record of supporting new finance capabilities Proficiency in data analytics and business intelligence tools. Experience with finance reporting and planning system technologies Experience with technical support of financial platforms Knowledge of financial management and accounting principles. Experience with ERP systems Resourceful individual who can “connect the dots” across matrixed organization Preferred Qualifications: Experience in pharmaceutical and/or biotechnology industry. Experience in financial planning, analysis, and reporting. Experience with global finance operations. Knowledge of advanced financial modeling techniques. Business performance management Finance transformation experience involving recent technology advancements Prior multinational capability center experience Experience with Oracle Hyperion/EPM, S4/SAP, Anaplan, Tableau/PowerBI, DataBricks, Alteryx, data lakes, data structures Soft Skills: Excellent project management abilities. Strong communication and interpersonal skills. High level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and drive change. Adaptability to a dynamic and fast-paced environment. Strong organizational and time management skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer,anddo not discriminatebased onan individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived. We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD. Data Engineer (Internally known as a Sr. Associate Technical Consultant) AHEAD is looking for a Technical Consultant Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Data Engineer will be responsible for hands-on engineering of Data platforms that support our clients advanced analytics, data science, and other data engineering initiatives. This consultant will build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. The 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 Data Engineer, you will implement data pipelines to enable analytics and machine learning on rich datasets. Responsibilities: A Data Engineer should be able to build, operationalize 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) 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: 3+ years of professional technical experience 3+ years of hands-on Data Warehousing. 3+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake 2+ years of programming languages such as Python 3+ years of experience working in cloud environments (Azure) 2 years of experience in Redshift Strong client-facing communication and facilitation skills Key Skills: Python, Azure Cloud, Redshift, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, OLAP Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. The compensation range indicated in this posting reflects the On-Target Earnings (OTE) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidates relevant experience, qualifications, and geographic location.

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer,anddo not discriminatebased onan individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived. We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD. Data Engineer (Internally known as a Technical Consultant) AHEAD is looking for a Technical Consultant Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Data Engineer will be responsible for hands-on engineering of Data platforms that support our clients advanced analytics, data science, and other data engineering initiatives. This consultant will build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. The 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 Data Engineer, you will implement data pipelines to enable analytics and machine learning on rich datasets. Responsibilities: A Data Engineer should be able to build, operationalize 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) 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: 3+ years of professional technical experience 3+ years of hands-on Data Warehousing. 3+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake 2+ years of programming languages such as Python 3+ years of experience working in cloud environments (Azure) 2 years of experience in Redshift Strong client-facing communication and facilitation skills Key Skills: Python, Azure Cloud, Redshift, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, OLAP Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. The compensation range indicated in this posting reflects the On-Target Earnings (OTE) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidates relevant experience, qualifications, and geographic location.

EMPLOYMENT QUALIFICATIONS: EDUCATION: - Bachelor's degree in software/computer engineering field. - Continuous learning, as defined by the Company's learning philosophy, is required. - Certification or progress toward certification is highly preferred and encouraged. SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED: - Minimum 10 years of relevant IT experience in managing multiple information systems projects. - Knowledge of healthcare domain - Should have knowledge in ETL process, SQL, Database (Oracle/MS SQL).etc. Proficient in Power BI/Tableau, Google data Studio, R, SQL, Python - Strong knowledge of cloud computing and experience in Microsoft Azure - Azure ML Studio, Azure Machine Learning - Strong knowledge in SSIS - Proficient in Azure services - Azure Data Factory, Synapse, Data Lake - Experience querying, analysing, or managing data required - Experience in data cleansing, data engineering, data enrichment, data warehousing/ Business Intelligence preferred - Strong analytical, problem solving and planning skills. - Strong organizational and presentation skills. - Excellent interpersonal and communication skills. - Ability to multi-task in a fast-paced environment. - Flexibility to adapt readily to changing business needs in a fast-paced environment - Team player who is delivery-oriented and takes responsibility for the team's success. - Enthusiastic, can-do attitude with the drive to continually learn and improve. - Knowledge of Agile, SCRUM and/or Agile methodologies. - Knowledge and experience using PPM tools, MS Project, Jira, Confluence, MS Excel, PowerPoint, SharePoint, and Visio - Exceptional interpersonal and communication skills, both oral and written - Ability to mentor junior team members with less experience - Ability to build relationships and work collaboratively with diverse leaders - Ability to communicate and influence across business and technical domains, and across all levels of the organization - Dynamic public speaking capabilities in front of large groups. - Ability to communicate ideas to both technical and non-technical audiences - Comfortable with ambiguity and can handle the unexpected with flexibility - Ability to work with a collaborative approach and build trust with others Required Skills Healthcare,Etl,Sql,Power Bi

Role Proficiency: Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities Outcomes: Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members Measures of Outcomes: Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainings Outputs Expected: Code: Code as per design Follow coding standards templates and checklists Review code - for team and peers Documentation: Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation r and requirements test cases/results Configure: Define and govern configuration management plan Ensure compliance from the team Test: Review and create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain relevance: Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications Manage Project: Manage delivery of modules and/or manage user stories Manage Defects: Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate: Create and provide input for effort estimation for projects Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release: Execute and monitor release process Design: Contribute to creation of design (HLD LLD SAD)/architecture for Applications/Features/Business Components/Data Models Interface with Customer: Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos Manage Team: Set FAST goals and provide feedback Understand aspirations of team members and provide guidance opportunities etc Ensure team is engaged in project Certifications: Take relevant domain/technology certification Skill Examples: Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware's. Strong analytical and problem-solving abilities Knowledge Examples: Appropriate software programs / modules Functional and technical designing Programming languages - proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile - Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved Additional Comments: Responsibilities: - Understand business requirements and existing system designs, security applications and guidelines, etc. - Work with various SME's in understanding business process flows, functional requirements specifications of existing system, their current challenges and constraints and future expectation. - Streamline the process of sourcing, organizing data (from a wide variety of data sources using Python, PySpark, SQL, Spark) and accelerating data for analysis. - Support the data curation process by feeding the data catalog and knowledge bases. - Create data tools for analytics and data scientist team members that assist them in building and optimizing the data products for consumption. - Work with data and analytics experts to strive for greater functionality in the data systems. - Clearly articulate data stories using data science, advanced statistical analysis, visualization tools, PowerPoint presentations, written and oral communication. - Manage technical, analytical, and business documentation on all data efforts. - Engage in hands on development and work with both onsite and offsite leads and engineers. Competencies: - 5+ years of experience in building data engineering pipelines on both onpremise and cloud platforms (Snowflake) - 5+ years of experience in developing Python based data-applications to support data ingestion, transformation, data visualizations (plotly, streamlit, flask, dask) - Strong experience coding in Python, PySpark, SQL and building automations. - Knowledge of Cybersecurity, IT infrastructure and Software concepts. - 3+ years of experience using data warehousing / data lake techniques in cloud environments. - 3+ years of developing data visualizations using Tableau, Plotly, Streamlit - Experience with ELT/ETL tools like DBT, Cribl, etc. - Experience on capturing incremental data changes, streaming data ingestion and stream processing. - Experience in processes supporting data governance, data structures, metadata management. - Solid grasp of data and analytics concepts and methodologies including data science, data engineering, and data story-telling Required Skills Python,Sql,Cloud Platform

KDataScience (USA & INDIA) is looking for Senior Data Engineer to join our dynamic team and embark on a rewarding career journey Designing and implementing scalable and reliable data pipelines, data models, and data infrastructure for processing large and complex datasets. Developing and maintaining databases, data warehouses, and data lakes that store and manage the organization's data. Developing and implementing data integration and ETL (Extract, Transform, Load) processes to ensure that data flows smoothly and accurately between different systems and data sources. Ensuring data quality, consistency, and accuracy through data profiling, cleansing, and validation. Building and maintaining data processing and analytics systems that support business intelligence, machine learning, and other data-driven applications. Optimizing the performance and scalability of data systems and infrastructure to ensure that they can handle the organization's growing data needs.

Job Title - Sales Excellence -Client Success - Data Engineering Specialist - CF Management Level :ML9 Location:Open Must have skills:GCP, SQL, Data Engineering, Python Good to have skills:managing ETL pipelines. Job Summary : We are: Sales Excellence. Sales Excellence at Accenture empowers our people to compete, win and grow. We provide everything they need to grow their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. The team will be aligned to the Client Success, which is a new function to support Accenture's approach to putting client value and client experience at the heart of everything we do to foster client love. Our ambition is that every client loves working with Accenture and believes we're the ideal partner to help them create and realize their vision for the future – beyond their expectations. You are: A builder at heart – curious about new tools and their usefulness, eager to create prototypes, and adaptable to changing paths. You enjoy sharing your experiments with a small team and are responsive to the needs of your clients. The work: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Tools & Reporting team, you will help in building and enhancing data foundation for reporting tools and Analytics tool to provide insights on underlying trends and key drivers of the business. Roles & Responsibilities: Collaborate with the Client Success, Analytics COE, CIO Engineering/DevOps team, and stakeholders to build and enhance Client success data lake. Write complex SQL scripts to transform data for the creation of dashboards or reports and validate the accuracy and completeness of the data. Build automated solutions to support any business operation or data transfer. Document and build efficient data model for reporting and analytics use case. Assure the Data Lake data accuracy, consistency, and timeliness while ensuring user acceptance and satisfaction. Work with the Client Success, Sales Excellence COE members, CIO Engineering/DevOps team and Analytics Leads to standardize Data in data lake. Professional & Technical Skills: Bachelor's degree or equivalent experience in Data Engineering, analytics, or similar field. At least 4 years of professional experience in developing and managing ETL pipelines. A minimum of 2 years of GCP experience. Ability to write complex SQL and prepare data for dashboarding. Experience in managing and documenting data models. Understanding of Data governance and policies. Proficiency in Python and SQL scripting language. Ability to translate business requirements into technical specification for engineering team. Curiosity, creativity, a collaborative attitude, and attention to detail. Ability to explain technical information to technical as well as non-technical users. Ability to work remotely with minimal supervision in a global environment. Proficiency with Microsoft office tools. Additional Information: Master's degree in analytics or similar field. Data visualization or reporting using text data as well as sales, pricing, and finance data. Ability to prioritize workload and manage downstream stakeholders. About Our Company | Accenture Qualifications Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Bachelor’s degree or equivalent experience in Data Engineering, analytics, or similar field

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 : Cloud Data Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Data ArchitectKemper is seeking a Data Architect to join our team. You will work as part of a distributed team and with Infrastructure, Enterprise Data Services and Application Development teams to coordinate the creation, enrichment, and movement of data throughout the enterprise. Your central responsibility as an architect will be improving the consistency, timeliness, quality, security, and delivery of data as part of Kemper's Data Governance framework. In addition, the Architect must streamline data flows and optimize cost management in a hybrid cloud environment. Your duties may include assessing architectural models and supervising data migrations across IaaS, PaaS, SaaS and on premises systems, as well as data platform selection and, on-boarding of data management solutions that meet the technical and operational needs of the company. To succeed in this role, you should know how to examine new and legacy requirements and define cost effective patterns to be implemented by other teams. You must then be able to represent required patterns during implementation projects. The ideal candidate will have proven experience in cloud (Snowflake, AWS and Azure) architectural analysis and management. Responsibilities Define architectural standards and guidelines for data products and processes. Assess and document when and how to use existing and newly architected producers and consumers, the technologies to be used for various purposes, and models of selected entities and processes. The guidelines should encourage reuse of existing data products, as well as address issues of security, timeliness, and quality. Work with Information & Insights, Data Governance, Business Data Stewards, and Implementation teams to define standard and ad-hoc data products and data product sets. Work with Enterprise Architecture, Security, and Implementation teams to define the transformation of data products throughout hybrid cloud environments assuring that both functional and non-functional requirements are addressed. This includes the ownership, frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations. Working with Data Governance and project teams to model and map data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the technologies in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood. Defining integrative views of data to draw together data from across the enterprise. Some views will use data stores of extracted data and others will bring together data in near real time. Solutions must consider data currency, availability, response times and data volumes, etc. Working with modeling and storage teams to define Conceptual, Logical and Physical data views limiting technical debt as data flows through transformations. Investigating and leading participation in POCs of emerging technologies and practices. Leveraging and evolving existing [core] data products and patterns. Communicate and lead understanding of data architectural services across the enterprise. Ensure a focus on data quality by working effectively with data and system stewards. QualificationsBachelor's degree in computer science, Computer Engineering, or equivalent experience. A minimum of 3 years' experience in a similar role. Demonstrable knowledge of Secure DevOps and SDLC processes. Must have AWS or Azure experience.Experience with Data Vault 2 required. Snowflake a plus.Familiarity of system concepts and tools within an enterprise architecture framework. Including Cataloging, MDM, RDM, Data Lakes, Storage Patterns, etc. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : Data Engineering, Cloud Data Migration Minimum 9 year(s) of experience is required Educational Qualification : BE or BTech must 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 :Data Modeling Techniques and Methodologies, SSI: NON SSI:Good to Have Skills :SSI:Data Engineering, Cloud Data Migration NON SSI :Job Requirements :Key Responsibilities :1Drive discussions with clients deal teams to understand business requirements, how Industry Data Model fits in implementation and solutioning 2Develop the solution blueprint and scoping, estimation, staffing for delivery project and solutioning 3Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions 4Good to have Data Vault,Cloud DB design,Graph data modeling, Ontology, Data Engineering,Data Lake design Technical Experience :1 9plus year overall exp,4plus Data Modeling,Cloud DB Model,3NF,Dimensional,Conversion of RDBMS data model to Graph Data ModelInstrumental in DB design through all stages of Data Model 2 Exp on at least one Cloud DB Design work must be familiar with Data Architecture Principles Professional Attributes :1Strong requirement analysis and technical solutioning skill in Data and Analytics 2Excellent writing, communication and presentation skills 3Eagerness to learn and develop self on an ongoing basis 4Excellent client facing and interpersonal skills Educational Qualification:BE or BTech mustAdditional Info :Exp in estimation,PoVs,Solution Approach creation Exp on data transformation,analytic projects,DWH Qualification BE or BTech must

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 : Cloud Data Architecture Good to have skills : Cloud Infrastructure Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Data ArchitectKemper is seeking a Data Architect to join our team. You will work as part of a distributed team and with Infrastructure, Enterprise Data Services and Application Development teams to coordinate the creation, enrichment, and movement of data throughout the enterprise. Your central responsibility as an architect will be improving the consistency, timeliness, quality, security, and delivery of data as part of Kemper's Data Governance framework. In addition, the Architect must streamline data flows and optimize cost management in a hybrid cloud environment. Your duties may include assessing architectural models and supervising data migrations across IaaS, PaaS, SaaS and on premises systems, as well as data platform selection and, on-boarding of data management solutions that meet the technical and operational needs of the company. To succeed in this role, you should know how to examine new and legacy requirements and define cost effective patterns to be implemented by other teams. You must then be able to represent required patterns during implementation projects. The ideal candidate will have proven experience in cloud (Snowflake, AWS and Azure) architectural analysis and management. Responsibilities Define architectural standards and guidelines for data products and processes. Assess and document when and how to use existing and newly architected producers and consumers, the technologies to be used for various purposes, and models of selected entities and processes. The guidelines should encourage reuse of existing data products, as well as address issues of security, timeliness, and quality. Work with Information & Insights, Data Governance, Business Data Stewards, and Implementation teams to define standard and ad-hoc data products and data product sets. Work with Enterprise Architecture, Security, and Implementation teams to define the transformation of data products throughout hybrid cloud environments assuring that both functional and non-functional requirements are addressed. This includes the ownership, frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations. Working with Data Governance and project teams to model and map data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the technologies in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood. Defining integrative views of data to draw together data from across the enterprise. Some views will use data stores of extracted data and others will bring together data in near real time. Solutions must consider data currency, availability, response times and data volumes, etc. Working with modeling and storage teams to define Conceptual, Logical and Physical data views limiting technical debt as data flows through transformations. Investigating and leading participation in POCs of emerging technologies and practices. Leveraging and evolving existing [core] data products and patterns. Communicate and lead understanding of data architectural services across the enterprise. Ensure a focus on data quality by working effectively with data and system stewards. QualificationsBachelor's degree in computer science, Computer Engineering, or equivalent experience. A minimum of 3 years' experience in a similar role. Demonstrable knowledge of Secure DevOps and SDLC processes. Must have AWS or Azure experience.Experience with Data Vault 2 required. Snowflake a plus.Familiarity of system concepts and tools within an enterprise architecture framework. Including Cataloging, MDM, RDM, Data Lakes, Storage Patterns, etc. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : GCP Dataflow Good to have skills : Google BigQuery Minimum 3 year(s) of experience is required Educational Qualification : Any Graduate Summary :As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using GCP Dataflow. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing using GCP Dataflow. Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. Collaborate with cross-functional teams to identify and resolve data-related issues. Develop and maintain documentation related to data solutions and processes. Stay updated with the latest advancements in data engineering technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Experience in GCP Dataflow. Good To Have Skills:Experience in Google BigQuery. Strong understanding of ETL processes and data migration. Experience in data modeling and database design. Experience in data warehousing and data lake concepts. Experience in programming languages such as Python, Java, or Scala. Additional Information: The candidate should have a minimum of 3 years of experience in GCP Dataflow. The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Indore office. Qualification Any Graduate

Dear Candidates, Looking for Databricks , Data Analytic, data engineer,analytics,data lake,AWS,pyspark with MNC Client. Notice period-immediate/Max 15 days. Location-Hyderbad Please find the below Job description: Proficiency in Dat abricks Unified Data Analytics Platform- Good To Have Skills: Experience with Python (Programming Language) - Strong understanding of data analytics and data processing- Experience in building and configuring applications- Knowledge of software development lifecycle- Ability to troubleshoot and debug applications Additional Information: - The candidate sh.ould have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. Key Responsibilities: 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 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake.€¢ Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery. €¢ Minimum of 2 years of experience years in real time streaming using Kafka/Kinesis€¢ Minimum 4 year of Experience in one or more programming languages Python, Java, Scala.€¢ Experience using airflow for the data pipelines in min 1 project.€¢ 1 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform Professional Attributes: €¢ Ready to work in B Shift (12 PM €“ 10 PM) €¢ A Client facing skills: solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders.€¢ Good critical thinking and problem-solving abilities €¢ Health care knowledge €¢ Good Communication Skills Educational Qualification: Bachelor of Engineering / Bachelor of Technology Additional Information: Data Engineering, PySpark, AWS, Python Programming Language, Apache Spark, Databricks, Hadoop, Certifications in Databrick or Python or AWS. 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 Hyderabad office- A 15 years full-time education is required Kindly mention above details ..if you are interested in above position. Kindly share your profile-w akdevi@crownsolution.com. Regards, devii

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

Who you are A seasoned Data Engineer with a passion for building and managing data pipelines in large-scale environments. Have good experience working with big data technologies, data integration frameworks, and cloud-based data platforms. Have a strong foundation in Apache Spark, PySpark, Kafka, and SQL.What you’ll doAs a Data Engineer – Data Platform Services, your responsibilities include: Data Ingestion & Processing Assisting in building and optimizing data pipelines for structured and unstructured data. Working with Kafka and Apache Spark to manage real-time and batch data ingestion. Supporting data integration using IBM CDC and Universal Data Mover (UDM). Big Data & Data Lakehouse Management Managing and processing large datasets using PySpark and Iceberg tables. Assisting in migrating data workloads from IIAS to Cloudera Data Lake. Supporting data lineage tracking and metadata management for compliance. Optimization & Performance Tuning Helping to optimize PySpark jobs for efficiency and scalability. Supporting data partitioning, indexing, and caching strategies. Monitoring and troubleshooting pipeline issues and performance bottlenecks. Security & Compliance Implementing role-based access controls (RBAC) and encryption policies. Supporting data security and compliance efforts using Thales CipherTrust. Ensuring data governance best practices are followed. Collaboration & Automation Working with Data Scientists, Analysts, and DevOps teams to enable seamless data access. Assisting in automation of data workflows using Apache Airflow. Supporting Denodo-based data virtualization for efficient data access. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks. Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics.

What you’ll do As a Data Engineer – Data Modeling, you will be responsible for: Data Modeling & Schema Design Developing conceptual, logical, and physical data models to support enterprise data requirements. Designing schema structures for Apache Iceberg tables on Cloudera Data Platform. Collaborating with ETL developers and data engineers to optimize data models for efficient ingestion and retrieval. Data Governance & Quality Assurance Ensuring data accuracy, consistency, and integrity across data models. Supporting data lineage and metadata management to enhance data traceability. Implementing naming conventions, data definitions, and standardization in collaboration with governance teams. ETL & Data Pipeline Support Assisting in the migration of data from IIAS to Cloudera Data Lake by designing efficient data structures. Working with Denodo for data virtualization, ensuring optimized data access across multiple sources. Collaborating with teams using Talend Data Quality (DQ) tools to ensure high-quality data in the models. Collaboration & Documentation Working closely with business analysts, architects, and reporting teams to understand data requirements. Maintaining data dictionaries, entity relationships, and technical documentation for data models. Supporting data visualization and analytics teams by designing reporting-friendly data models. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in data modeling, database design, and data engineering. Hands-on experience with ERwin Data Modeler for creating and managing data models. Strong knowledge of relational databases (PostgreSQL) and big data platforms (Cloudera, Apache Iceberg). Proficiency in SQL and NoSQL database concepts. Understanding of data governance, metadata management, and data security principles. Familiarity with ETL processes and data pipeline optimization. Strong analytical, problem-solving, and documentation skills. Preferred technical and professional experience Experience working on Cloudera migration projects. Exposure to Denodo for data virtualization and Talend DQ for data quality management. Knowledge of Kafka, Airflow, and PySpark for data processing. Familiarity with GitLab, Sonatype Nexus, and CheckMarx for CI/CD and security compliance. Certifications in Data Modeling, Cloudera Data Engineering, or IBM Data Solutions.