1079 Data Integration Jobs - Page 35

Title: Oracle FDMEE professionals (Data Integration) Experience - 8 Yrs Job Location - Bengaluru (100% Remote) Client Manager Feedback: They need someone with these all skills: 1) EPM Data Integration 2) EPM Data Management 3) EPM Data Exchange 4) EPM FDMEE 5) EPM ODI Must Have: * Resource should be well versed in EPM Cloud Data Integration and know how to execute complex integrations with different source systems Ask every consultant this questions * Knowledge on atleast 2 PBCS modules such as Financials and Workforce would be an added advantage. * Also, he should be well versed with scripting such as PowerShell, Batch and Groovy Job Requirements: 3 to 8 years of strong technical experience in design and implementation of Oracle FDMEE solutions. Delivery of project through Oracle EPM Landscape. This includes the following phases: Requirements gathering Writing Functional specifications & Technical design documents Build Testing Implementation Understand emerging business requirements and drive the project roadmap to deliver solutions aligned with the business goals. Assist in the delivery of proof of concept for solutions benefiting the close process. Extensive experience in FDMEE/ODI. Must have comprehensive experience of having designed applications in FDMEE with multiple sources and Target integrated. Takes a structured and effective approach to own work and demonstrates using Oracle EPM best practices. Able to analyze, diagnose, design, plan, execute and evaluate work to time, cost and service targets, exhibiting the application of available methods, procedures, tools, equipment, and standards associated with own area of specialization. Excellent written and verbal communication skills. Technical Skills: Minimum of 2 yrs experience with FDMEE and ODI or experience with multiple complicated integration migrations. Experience of developing complex SQL queries and procedures. Individual should have development experience in FDMEE (specifically Python/Jython scripting). Good knowledge of Security management in Oracle EPM Cloud and on-premises applications. Understanding of the financial close cycle and related best practices. Experience with Data integration from different sources. Expertise in gathering, understanding incident background, mapping, and recreating incidents, and translating root cause into a workable solution. Good understanding of the financial principles of consolidated group accounts. Preferred Skills: Knowledge of complex Financial Services environments. Holistic appreciation of the Oracle EPM Cloud/Hyperion project lifecycle. Knowledge on HFM, FCCS and Planning. Knowledge of Calc Manager Rules. Awareness of the entire Hyperion/Oracle EPM BI toolset. Experience in Smart View for Office products. Good to have Certification (FCCS/HFM/Planning). General: Meet project deadlines. Experience in requirement gathering and solution design. Desired functional knowledge. Create technical, functional & system specifications and documents. Ensure delivery quality. Coordinating and driving discussions with relevant teams. Compliance with program standards. Participate in project meetings, workshops, and trainings. Well organized and results driven.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Data Science Consulting. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Big Data. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Data Visualisation for Data Science. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: ServiceNow - System Administration. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

Job Title:Backend Database developer Experience5-10 Years Location:Bangalore - Hybrid : A bachelors degree in Computer Science or a related field. 5-7 years of experience working as a hands-on developer in Sybase, DB2, ETL technologies. Worked extensively on data integration, designing, and developing reusable interfaces/ Advanced experience in Python, DB2, Sybase, shell scripting, Unix, Perl scripting, DB platforms, database design and modeling. Expert level understanding of data warehouse, core database concepts and relational database design Experience in writing stored procedures, optimization, and performance tuning Strong Technology acumen and a deep strategic mindset Proven track record of delivering results Proven analytical skills and experience making decisions based on hard and soft data A desire and openness to learning and continuous improvement, both of yourself and your team members Hands-on experience on development of APIs is a plus Good to have experience with Business Intelligence tools, Source to Pay applications such as SAP Ariba, and Accounts Payable system Skills Required: Familiarity with Postgres and Python is a plus Spend Management Technology (SMT) is seeking a Backend/Database developer Who will play an integral role in designing, implementing, and supporting data integration with New systems, data warehouse, and data extraction solutions across SMT functional areas. skills Sybase DB2 ETL Technologies Python Unix, Shell scripting, Perl BI Tools/SAP Ariba Postgres

Job Title:Data Engineer - DBT (Data Build Tool) Experience0-5 Years Location:Bengaluru : Job Responsibilities Assist in the design and implementation of Snowflake-based analytics solution(data lake and data warehouse) on AWS Requirements definition, source data analysis and profiling, the logical and physical design of the data lake and data warehouse as well as the design of data integration and publication pipelines Develop Snowflake deployment and usage best practices Help educate the rest of the team members on the capabilities and limitations of Snowflake Build and maintain data pipelines adhering to suggested enterprise architecture principles and guidelines Design, build, test, and maintain data management systems Work in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issue Act as technical leader within the team Working in Agile/Lean model Deliver quality deliverables on time Translating complex functional requirements into technical solutions. EXPERTISE AND QUALIFICATIONS Essential Skills, Education and Experience Should have a B.E. / B.Tech. / MCA or equivalent degree along with 4-7 years of experience in Data Engineering Strong experience in DBT concepts like Model building and configurations, incremental load strategies, macro, DBT tests. Strong experience in SQL Strong Experience in AWS Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data Creation of necessary infrastructure for ETL jobs from a wide range of data sources using Talend, DBT, S3, Snowflake. Experience in Data storage technologies like Amazon S3, SQL, NoSQL Data modeling technical awareness Experience in working with stakeholders working in different time zones Good to have AWS data services development experience. Working knowledge on using Bigdata technologies. Experience in collaborating data quality and data governance team. Exposure to reporting tools like Tableau Apache Airflow, Apache Kafka (nice to have) Payments domain knowledge CRM, Accounting, etc. in depth understanding Regulatory reporting exposure Other skills Good Communication skills Team Player Problem solver Willing to learn new technologies, share your ideas and assist other team members as needed Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions.

Job Title Snaplogic Experience 0-5Years Location Bangalore : Snaplogic

Job Title:ETL Developer Snap Logic Experience:6-8 Years Location:Bangalore : Technical Skills: Design, develop, and maintain SnapLogic pipelines to support integration projects. Build and manage APIs using SnapLogic to connect various data sources and systems. Leverage SnapLogic agent functionality to enable secure and efficient data integration. Collaborate with cross-functional teams to gather requirements and ensure solutions meet business needs. Troubleshoot and optimize existing SnapLogic integrations to improve performance and reliability. Document integration processes and provide guidance to team members on best practices. Proven experience with SnapLogic, including API builds and agent functionality. Strong understanding of integration patterns and best practices. Proficiency in data integration and ETL processes. Expertise on Relational Databases Oracle, SSMS and familiar with NO SQL DB MongoDB Knowledge of data warehousing concepts and data modelling Experience of performing validations on large-scale datax`x` Strong Rest API ,JSON’s and Data transformations experience Experience with Unit Testing and Integration Testing Familiarity with large language models (LLMs) and their integration with data pipelines. Experience in database architecture and optimization. Knowledge of U.S. healthcare systems, data standards (e.g., HL7, FHIR), and compliance requirements (e.g., HIPAA). Behavioral Skills: Excellent documentation and presentation skills, analytical and critical thinking skills, and the ability to identify needs and take initiative Follow engineering best practices and principles within your organisation Work closely with a Lead Software Engineer Be an active member of the MMC Technology community – contribute, collaborate, and learn Build strong relationships with members of your engineering squad

Snowflake data engineer1 Overall Experience 5+ years of experience in IICS and SnowflakeProven experience in implementing ETL solutions with a focus on IICS and Snowflake.Strong hands-on development experience in IICS, including CDI, CAI, and Mass Ingestion.Proficiency in using various connectors for different source/file formats and databases.Knowledge of web services and their integration into ETL processes.Administration skills related to IICS, ensuring a smooth operational environment.Proven experience as a Snowflake Developer with a strong focus on data warehousing.Hands-on experience in designing and implementing data models within the Snowflake environment.Proficient in developing ETL processes using Snowflake features and SQL.Knowledge of security best practices and access control within Snowflake.Familiarity with data integration and data warehouse concepts.Experience with data migration to Snowflake from other platforms is a plus.Excellent problem-solving skills with the ability to analyze and resolve critical issues.Strong organizational and project management skills.Effective communication skills for customer interactions and status updates.Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.Eager to contribute to a team-oriented environment.Strong prioritization and multi-tasking skills with a track record of meeting deadlines.Ability to be creative and analytical in a problem-solving environment.Effective verbal and written communication skills.Adaptable to new environments, people, technologies, and processesAbility to manage ambiguity and solve undefined problems.

Role: Product Owner Product Owner Key Responsibilities: Define and communicate the product vision and strategy. Lead the product development lifecycle from ideation to launch, ensuring alignment with business goals and user needs. Collaborate with engineering teams to prioritize features and manage the product backlog effectively. Conduct research and competitive analysis to identify trends, opportunities, and potential areas for product enhancement. Engage with healthcare payers leaders, and regulatory bodies to gather insights and feedback on product performance and usability. Monitor and analyze product performance metrics to inform decision-making and drive continuous improvement. Foster a culture of innovation and collaboration within the product team and across the organization. Act as the primary point of contact for stakeholders, providing updates on product progress and soliciting feedback. Mentor and guide junior product managers and team members to develop their skills and capabilities. Required Qualifications: Education: Bachelor’s degree in Business Administration, Healthcare Management, Computer Science, or a related field. Master’s degree (MBA or similar) preferred but not required. Experience: Minimum of 9+ years of product management experience, with at least 3 years in a leadership role. Proven track record of successfully managing complex technology products, preferably in the healthcare or health technology sector. Strong understanding of HEDIS measures, healthcare quality metrics, and regulatory requirements. Experience working with cross-functional teams, including engineering, design, and data analytics. Familiarity with Agile methodologies and tools (e.g., Scrum, JIRA, Confluence). Excellent communication, presentation, and interpersonal skills, with the ability to engage and influence stakeholders at all levels. Analytical mindset with a strong ability to interpret data and drive data-informed decisions. Preferred Qualifications: Experience with healthcare data analytics, data integration, and reporting tools. Knowledge of electronic health records (EHR) systems and healthcare interoperability standards. Certification in product management (e.g., Certified Scrum Product Owner, Certified Product Manager) is a plus

This job is hiring for Pan India Location. Marketing Cloud Intelligence(Datorama) Specialist, Marketing Cloud Personalization (Interaction Studio), Marketing Cloud Account Engagement(Pardot), Salesforce Data Cloud, Salesforce Marketing Cloud B2C. We are seeking an experienced Salesforce Data Cloud professional The ideal candidate will have a deep understanding of (SFMC) or Pardot or Marketing Cloud Personalization, with a focus on data management, customer segmentation, and analytics within the Salesforce Data Cloud environment. This role will involve designing and implementing data solutions that drive customer engagement, optimize marketing efforts, and enhance data-driven decision-making. Salesforce Data Cloud Implementation, Data management & Integration, Customer Segmentation & Personalization, Analytics & Reporting, Data Governance & Compliance.

Requirements: What Youll Do: Analyse Business Requirements: Understand and evaluate client needs. Data Model Analysis & GAP Analysis: Review the current data model and identify gaps relative to business requirements. Design BI Schema: Develop Data Warehouse/Business Intelligence schemas. Data Transformation: Utilize Power BI, Tableau, SQL, or ETL tools to transform data. Create Reports & Dashboards: Develop interactive reports and dashboards with calculated formulas. SQL Expertise: Write complex SQL queries and stored procedures. Design BI Solutions: Architect effective business intelligence solutions tailored to business needs. Team Management: Lead and guide a team of BI developers. Data Integration: Integrate data from multiple sources into BI tools for comprehensive analysis. Performance Optimization: Ensure reports and dashboards run efficiently. Stakeholder Collaboration: Work with stakeholders to align BI projects with business goals. Mandatory Knowledge: In-depth knowledge of Data Warehousing; Data Engineering is a plus. What Youll Bring: Educational Qualification: B.Tech in Computer Science or equivalent. Experience: Minimum 7+ years of relevant experience. Share your resume with details on current CTC, expected CTC, and preferred location. Location-Hyderabad,Ahmedabad,Gurugram,Indore

Job Location: Hyderabad, Ahmedabad, Gurgaon, Indore (India) Other Locations: We are in Austin (USA), Singapore, and Hyderabad (India). What Youll Do: Analyze Business Requirements: Work closely with stakeholders to understand and analyze business needs. Data Model & GAP Analysis: Evaluate existing data models and perform gap analysis relative to business requirements. Design BI Solutions: Develop and design Data Warehouse/Business Intelligence schemas. Data Transformation: Transform data using Power BI, Tableau, SQL, and ETL tools. Reporting & Dashboards: Create compelling reports and dashboards with calculated formulas. SQL Expertise: Write complex SQL queries and stored procedures. Team Leadership: Manage and guide a team of Business Intelligence developers. Data Integration: Integrate data from various sources for comprehensive analysis. Performance Optimization: Optimize reports and dashboards for smooth performance. Collaboration: Work with stakeholders to ensure BI projects are aligned with business goals. What Youll Bring: Education: B.Tech in Computer Science or equivalent. Experience: Minimum of 5+ years in Business Intelligence and Data Warehousing. Primary Skills (Mandatory): Strong experience in data warehousing and BI schema design. Proficiency in Power BI/Tableau, SQL, and ETL tools. Ability to manage a team and deliver robust BI solutions. Secondary Skills (Desirable): Knowledge of Data Engineering concepts. Experience in creating calculated formulas and advanced visualizations. Phone/WhatsApp: 9032956160

Key Responsibilities: Platform Development & Implementation: Lead the development of the investment platform, building robust, scalable, and secure applications. Collaborate closely with the founders to translate business requirements into technical solutions. Collaborate with external vendors & third party SAAS providers for seamless integration Design & implement intuitive user interaction flows. Key Product Modules: Portfolio Construction: Develop modules related to portfolio analysis, buy/sell timings, performance reporting, and decision analytics. Investment Analysis: Build pre-created comp sheets, Excel model integrations, and research module updates. Company Selection: Implement screener modules, operational metric scrapes, and data integration from public sources and sell-side inputs. Decision/Meeting Journal: Integrate meeting notes, research modules, and AI-based decision-support tools. Data Integration: Implement API integrations with public data sources (e.g., AMFI, BSE) and proprietary Excel models. Facilitate trade-data integration for performance analysis and analytics. AI & Automation: Develop AI features for query suggestions, research summarization, and decision analytics. Automate data scraping and report generation processes. Qualifications: Bachelor's degree in Computer Science, Engineering, or related fields. 3+ years of hands-on software development experience, preferably in fintech or investment-related platforms. Strong coding skills in Python, JavaScript, React, and related technologies. Experience with API integrations, data pipelines, and database management. Familiarity with AI-driven applications and RAG-based research portals is a plus.

Seeking a highly skilled and experienced Salesforce Marketing Cloud Architect to lead the design, development, and implementation of our Marketing Cloud solutions. The ideal candidate will be responsible for creating scalable solutions and strategies that align with our marketing goals, enhancing customer engagement, and optimizing campaign performance. Roles and Responsibilities Key Responsibilities: Architect end-to-end solutions using Salesforce Marketing Cloud (SFMC) and related Salesforce products (e.g., Sales Cloud, Service Cloud). Define and implement SFMC best practices, including data modeling, contact strategy, automation, and integration. Lead the technical design of marketing campaigns using Email Studio, Journey Builder, Automation Studio, Mobile Studio, and Advertising Studio. Collaborate with marketing stakeholders to gather business requirements and translate them into scalable technical solutions. Design and oversee data integration between Marketing Cloud and external systems (CRM, websites, mobile apps). Guide the implementation of API-based integrations using REST and SOAP APIs. Ensure security, privacy, and compliance (e.g., GDPR, CAN-SPAM) standards are met in all marketing initiatives. Provide technical mentorship and guidance to developers, administrators, and other team members. Stay current with SFMC innovations and recommend strategic improvements to existing architectures. Required Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 6+ years of experience in Salesforce ecosystem with at least 3 years dedicated to Marketing Cloud. Proven experience in architecting and implementing complex SFMC solutions. Expertise in Email Studio, Journey Builder, Automation Studio, Contact Builder, and Mobile Studio. Strong understanding of data modeling and segmentation within SFMC. Hands-on experience with SQL, AMPscript, and SSJS. Experience with REST/SOAP API integrations. Salesforce Marketing Cloud certifications (e.g., Marketing Cloud Consultant, Developer, or Architect) strongly preferred. Preferred Qualifications: Experience integrating SFMC with Salesforce CRM (Sales/Service Cloud). Knowledge of marketing analytics and reporting tools (e.g., Datorama, Tableau). Experience with CDP (Customer Data Platform) or other customer data management tools. Familiarity with Agile or Scrum development methodologies. Soft Skills: Excellent communication and stakeholder management skills. Ability to translate complex technical concepts into business-friendly language. Strong problem-solving and analytical skills. Self-motivated with the ability to manage multiple priorities in a fast-paced environment.

Develop a strong understand of business flows, processes and architecture and leverage that in designing and developing BI content. Translate business/functional requirements into technical specifications encompassing the ETL, Metadata layer and Reporting layer. Significant experience in the areas of HANA Modeling, HANA data provisioning, HANA Views and SQL Script, Stored procedures. Hands-on development within all layers of the SAP Datasphere environment. Data acquisition, modeling, transformation, and load to HANA Platform. Design, build and execute data conversions from legacy systems. Write and execute test plans (unit, regression and integration) Technical and user documentation and training. Provide production support and user support, including researching data questions. Provide technical guidance and oversee work completed by junior team members Required Experience: 6+ years of full life-cycle experience in Data Warehouse/Reporting projects, preferably in an SAP environment. Hands-on experience in all facets of EDW Architecture, Data flow strategy, Data modeling, Metadata & Master data management. Experience with SAP HANA architecture and HANA Modeling. Understanding of HANA data provisioning, HANA views and SQL Script. Experience in SAP Datasphere implementation project with different data source like ERP (SAP ECC on HANA), Oracle R-12 Knowledge on extracting data from various sources including SAP and non-SAP system to SAP DS is required. Knowledge on Advanced modeling concepts including Analytic Views, Attribute Views, Hierarchies, Creating Restricted & Calculated Columns, Filter Operations, Variables, Creating Calculation Views, SAP HANA SQL, SQL Script and Procedures.Understanding of BI and HANA security (users, roles, privileges, etc).Excellent written and verbal communication skills Strong technical documentation SAP Datasphere Knowledge Location : -Remote

Job Responsibilities. Collaborate with data scientists, software engineers, and business stakeholders to understand data requirements and design efficient data models.. Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions.. Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.. Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently.. Perform data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modelling.. Monitor data flows and processes, identify and resolve data-related issues and bottlenecks.. Contribute to the continuous improvement of data engineering practices and standards within the organization.. Stay up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing. Candidate Profile. Strong passion for data engineering, artificial intelligence, and problem-solving.. Solid understanding of data engineering concepts, data modeling, and data integration techniques.. Proficiency in programming languages such as Python, SQL and Web Scrapping.. Understanding of databases like No Sql , relational database, In Memory database and technologies like MongoDB, Redis, Apache Spark would be add on... Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus.. Excellent analytical and problem-solving skills, with a keen eye for detail.. Strong communication and collaboration skills, with the ability to work effectively in a teamoriented environment.. Self-motivated, quick learner, and adaptable to changing priorities and technologies.. (ref:hirist.tech).

We are looking for an Anaplan Model Builder/Architect to design, build, and support financial, sales, and service planning models using the Anaplan platform. This is an opportunity to work in a fast-paced, challenging environment managing critical data for performance insights. Key Responsibilities Design, develop, and maintain Anaplan models aligned to business requirements. Collaborate with end users, consultants, and third-party vendors to support the Anaplan platform. Ensure high-quality delivery of finance/corporate system applications. Analyze existing model performance and implement enhancements. Translate complex problems into streamlined, efficient modeling solutions. Work with agile, cross-functional, and geographically dispersed teams. Manage and deliver user stories and requirements within sprint timelines. 4+ years of Anaplan, Level 3 Anaplan model builder certification, data visualization (Anaplan cloud-based platform for managing), basic data integration and scripting concept Good to have : Preferred Anaplan solution architect, ETL technologies.

Hadoop, Spark, and Kafka, in the Cloud ecosystem. AWS, Azure GCP. data modeling, data integration, and data management best practices. GDPR, HIPAA, and other industry regulations. AWS, Azure and GCP

Roles and Responsibilities : Design, develop, test, deploy, and maintain large-scale data pipelines using Azure Data Factory (ADF) to integrate various data sources into a centralized platform. Collaborate with cross-functional teams to gather requirements for data integrations and ensure seamless delivery of high-quality solutions. Develop complex SQL queries to extract insights from large datasets stored in relational databases such as PostgreSQL or MySQL. Troubleshoot issues related to data pipeline failures, identify root causes, and implement fixes to prevent future occurrences. Job Requirements : 4-9 years of experience in designing and developing data integration solutions using ADF or similar tools like Informatica PowerCenter or Talend Open Studio. Strong understanding of Microsoft Azure services including storage options (e.g., Blob Storage), compute resources (e.g., Virtual Machines), networking concepts (e.g., VPN). Proficiency in writing complex SQL queries for querying large datasets stored in relational databases such as PostgreSQL or MySQL.

Analyzing genetics, epigenetics, metagenomics, and metabolomics data from high-throughput multiplex assays using advanced computational techniques. Integrating various datasets to address specific biological questions. Designing and developing pipelines for statistical genetics programs encompassing basic and translational research. Writing manuscripts and contributing to various research studies. Managing project deliveries, responding to customer queries, and handling custom requirements. Basic understanding of molecular biology and genomics. Hands-on experience in NGS data analysis (RNA-seq, Exome-seq, ChIP-seq, and downstream analysis). Expertise in programming with Perl/Python. Experience in bioinformatics pipeline design and development. Familiarity with statistical programming (R/Bioconductor/Matlab). Knowledge in WGS, GWAS, and population genomics (preferred). Experience handling big data and managing multiple projects simultaneously. Ability to collaborate with clinical research scientists for project requirements. Capable of working both independently and as part of a team. Skills : - Bioinformatics,genomics Genetics Analysis Epigenetics Metagenomics Metabolomics High-throughput Data Multiplex Assays Computational Techniques Data Integration Biological Data Analysis Statistical Genetics Pipeline Development Translational Research Manuscript Writing Research Contributions Project Management Customer Queries Custom Requirements Bioinformatics Software Genetic Data Processing Data-driven Research Location : - Madhapur, Telangana

Requirements: What Youll Do: Analyse Business Requirements: Understand and evaluate client needs. Data Model Analysis & GAP Analysis: Review the current data model and identify gaps relative to business requirements. Design BI Schema: Develop Data Warehouse/Business Intelligence schemas. Data Transformation: Utilize Power BI, Tableau, SQL, or ETL tools to transform data. Create Reports & Dashboards: Develop interactive reports and dashboards with calculated formulas. SQL Expertise: Write complex SQL queries and stored procedures. Design BI Solutions: Architect effective business intelligence solutions tailored to business needs. Team Management: Lead and guide a team of BI developers. Data Integration: Integrate data from multiple sources into BI tools for comprehensive analysis. Performance Optimization: Ensure reports and dashboards run efficiently. Stakeholder Collaboration: Work with stakeholders to align BI projects with business goals. Mandatory Knowledge: In-depth knowledge of Data Warehousing; Data Engineering is a plus. What Youll Bring: Educational Qualification: B.Tech in Computer Science or equivalent. Experience: Minimum 7+ years of relevant experience. Share your resume with details on current CTC, expected CTC, and preferred location. Location - Indore .

We are seeking an experienced Data Architect to join our team , working with our UAE-based client. The ideal candidate should have 8-12 years of hands-on experience in data architecture, with at least 4 years in architectural design and integration. Strong expertise in MS Dynamics and data lake architecture is required, along with proficiency in ETL, data modeling, data integration, and data quality assurance. The candidate should have a strong problem-solving mindset, the ability to handle architectural issues, and experience in troubleshooting. They should also be a proactive contributor and a team player with a flexible attitude. The role requires immediate availability and the ability to work as per UAE timings. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Remote