54 Dw Jobs - Page 2

Urgent Requirement forPentaho DI . Experience:10+ Years Employment :C2H Notice Period:Immediate Mandatory Skills Must have ETL, Pentaho Data Integration (Kettle and Spoon), Designing and Troubleshooting and Performance tuning Should have - AWS cloud, XML, Java scripts, java & Unix shell scripts, Good to have skills Integration with sales force components.

What this job involves: About the Role We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

Sr Data Analyst As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a Sr Data Analyst for Targets Merch Data Analytics team youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years expQualificationB.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Client calls, guide towards optimized, cloud-native architectures, future state of their data platform, strategic recommendations and Microsoft Fabric integration. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 7+ years of experience as a Data and Cloud architecture with client stakeholders AZ Data Platform Expertise: Synapse, Databricks, Azure Data Factory (ADF), Azure SQL (DW/DB), Power BI (PBI). Define modernization roadmaps and target architecture. Strong understanding of data governance best practices for data quality, Cataloguing, and lineage. Proven ability to lead client engagements and present complex findings. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Experience in project management and team management Key responsibilities include: Lead all interviews workshops to capture current/future needs. Direct the technical review of Azure (AZ) infrastructure (Databricks, Synapse Analytics, Power BI) and critical on-premises (on-prem) systems. Come up with architecture designs (Arch. Designs), focusing on refined processing strategies and Microsoft Fabric. Understand and refine the Data Governance (Data Gov.) roadmap, including data cataloguing (Data Cat.), lineage, and quality. Lead project deliverables, ensuring actionable and strategic outputs. Evaluate and ensure quality of deliverables within project timelines Develop a strong understanding of equity market domain knowledge Collaborate with domain experts and business stakeholders to understand business rules/logics Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and manage client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client’s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Cognos Developer & Admin Required. EducationThe resource should be full time MCA/M. Tech/B. Tech/B.E. and should preferably have relevant certifications ExperienceThe resource should have a minimum of 3 years of experience of working in the in BI DW projects in areas pertaining to reporting and visualization using cognos. The resources shall have worked in at least two projects where they were involved in developing reporting/ visualization He shall have good understanding of UNIX. Should be well conversant in English and should have excellent writing, MIS, communication, time management and multi-tasking skill Preferred technical and professional experience Experience with various cloud and integration platforms (e.g. AWS, Google, Azure) Agile mindset – ability to process changes of priorities and requests, ownership, critical thinking Experience with an ETL/Data Integration tool (eg. IBM InfoSphere DataStage, Azure Data Factory, Informatica PowerCenter)

Primary focus on developing customer solutions using Oracles analytics offeringsOracle Analytics Cloud, Data Visualization, Fusion Analytics for Warehouse, OBIEE, OBIA . Customization of the following Oracle BI Applications modulesFinance Analytics, Procurement & Spend Analytics. (ETL & Reporting Layers) Design and development of ETL interfaces using Oracle Data Integrator, with Oracle BI Applications context. Must have extensive, hands on, implementation experience using OAC/OBIEE Reporting tools BI Publisher, Analysis & Dashboards. Deep Expertise in design and development of Oracle BI Repository (RPD) solution. Experience in configuring OBIEE / OBIA security (Authentication and Authorization Object level and Data level security) as well as tuning and multiple source systems. Advanced knowledge of OBIA pre-built content and deep experience with customizing/extending OBIA pre-built content of different modules. Solid understanding of Business Intelligence (BI) tools, Data Warehouse (DW), Data Modelling concepts and SQL/PLSQL. Pan India: India

Roles & Responsibilities: Resource must have 5+ years of hands on experience in Azure Cloud development (ADF + DataBricks) - mandatory Strong in Azure SQL and good to have knowledge on Synapse / Analytics Experience in working on Agile Project and familiar with Scrum/SAFe ceremonies. Good communication skills - Written & Verbal Can work directly with customer Ready to work in 2nd shift Good in communication and flexible Defines, designs, develops and test software components/applications using Microsoft Azure- Data-bricks, ADF, ADL, Hive, Python, Data bricks, SparkSql, PySpark. Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Spark, PySpark Strong T-SQL skills with experience in Azure SQL DW Experience handling Structured and unstructured datasets Experience in Data Modeling and Advanced SQL techniques Experience implementing Azure Data Factory Pipelines using latest technologies and techniques. Good exposure in Application Development. The candidate should work independently with minimal supervision

Experience in designing and developing data pipelines in a modern data stack (Snowflake, AWS, Airflow,DBT etc) Strong experience on Python Over 2+ years of experience in Snowflake and DBT Able to work in afternoon shift and front end the customer independently so that he/she possess strong communication Strong knowledge in Python, DBT, Snowflake, Airflow Ability to manage both structured and unstructured data Work with multiple data sources (APIs, Databases, S3, et) Own design, documentation, and lifecycle management of data pipelines Help implement the CI/CD processes and release engineering for organizations data pipelines Experience in designing and developing CI/CD processes and managing release management for data pipelines Proficient in Python, SQL, Airflow, AWS, Bitbucket, working with APIs and other types of data sources Good to have knowledge in Salesforce Primary skills : AWS Cloud, Snowflake DW, Azure SQL, SQL, Python (Must Have) DBT( Must Have)

CirrusLabs Private Limited is looking for DWH ETL Developer to join our dynamic team and embark on a rewarding career journey Consulting with data management teams to get a big-picture idea of the companys data storage needs. Presenting the company with warehousing options based on their storage needs. Designing and coding the data warehousing system to desired company specifications. Conducting preliminary testing of the warehousing environment before data is extracted. Extracting company data and transferring it into the new warehousing environment. Testing the new storage system once all the data has been transferred. Troubleshooting any issues that may arise. Providing maintenance support.

- PowerBI and AAS expert (Strong SC or Specialist Senior) - Should have hands-on experience of Data Modelling in Azure SQL Data Ware House and Azure Analysis Service - Should be able twrite and test Dex queries - Should be able generate Paginated Reports in PowerBI - Should have minimum 3 Years' working experience in delivering projects in PowerBI ROLE 2 : - DataBricks expert (Strong SC or Specialist Senior) - Should have minimum 3 years' working experience of writing code in Spark and Scala ROLE 3: - One Azure backend expert (Strong SC or Specialist Senior) - Should have hands-on experience of working with ADLS, ADF and Azure SQL DW - Should have minimum 3 Year's working experience of delivering Azure projects

Sr Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Sr Data Analyst for Target s Merch Data Analytics team you ll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years exp Qualification B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Data Analyst for Target s Merch Data Analytics team you ll: A role with Data Analytics (DA) means being a part of the team that work in support of business teams, leveraging business area knowledge, business intelligence capabilities and analytical methods to deliver key insights and technology solutions that drive company business strategies. This cover developing innovative business insights through robust statistical and analytical methods. The emphasis will be on ability to synthesize and communicate actionable insights and analysis recommendations to enable fact-based business decision-making, which is possible through a combination of technical skills and business understanding. / About You: ExperienceOverall 2-6 years exp and relevant 1-3 years exp Qualification: TI B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1.Hands on experience to Structured Query Language (SQL) syntax, including joins, volatile tables, and basic query tuning. And deep understanding of core DW/BI concepts. 2. Experience in at least 1 BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Working knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS) 4. Exposure to R, Python, Hive or other open-source languages/database 5. Understanding of analytical techniques (like Regression, Time-series models, Classification Techniques, etc.) to discover and measure key business drivers 6. Git source code management & experience working in an agile environment 7. Problem solving skills 8. Self-motivated and able to work in team settings in a fast-paced environment 9. Competent and curious to ask questions and learn to fill gaps 10. Good communication 11. Experience with Retail, Merchandising, Marketing will be strong addons About you: Four-year degree or equivalent experience Excellent verbal and written communication skills Demonstrated guest service, interpersonal, and follow-up skills Ability to manage multiple tasks with effective organizational skills Proven problem solving, critical thinking, and decision-making skills Flexible, team player who learns quickly while adapting to evolving technology and processes Ability to learn and navigate numerous, unique systems; proficiency with MS Office Package Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Job Information Job Opening ID ZR_2335_JOB Date Opened 01/08/2024 Industry IT Services Job Type Work Experience 5-8 years Job Title Snowflake Developer City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 Contract duration 6 month Experience 5 + years Location WFH ( should have good internet connection ) Snowflake knowledge (Must have) Autonomous person SQL Knowledge (Must have) Data modeling (Must have) Datawarehouse concepts and DW design best practices (Must have) SAP knowledge (Good to have) SAP functional knowledge (Good to have) Informatica IDMC (Good to have) Good Communication skills, Team player, self-motivated and work ethics Flexibility in working hours12pm Central time (overlap with US team ) Confidence, proactiveness and demonstrate alternatives to mitigate tools/expertise gaps(fast learner). check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1919_JOB Date Opened 06/05/2023 Industry Technology Job Type Work Experience 3-5 years Job Title OBIA+ODI+OBIEE Developer City Chennai Province Tamil Nadu Country India Postal Code 600001 Number of Positions 5 Primary focus on developing customer solutions using Oracles analytics offeringsOracle Analytics Cloud, Data Visualization, Fusion Analytics for Warehouse, OBIEE, OBIA . Customization of the following Oracle BI Applications modulesFinance Analytics, Procurement & Spend Analytics. (ETL & Reporting Layers) Design and development of ETL interfaces using Oracle Data Integrator, with Oracle BI Applications context. Must have extensive, hands on, implementation experience using OAC/OBIEE Reporting tools BI Publisher, Analysis & Dashboards. Deep Expertise in design and development of Oracle BI Repository (RPD) solution. Experience in configuring OBIEE / OBIA security (Authentication and Authorization Object level and Data level security) as well as tuning and multiple source systems. Advanced knowledge of OBIA pre-built content and deep experience with customizing/extending OBIA pre-built content of different modules. Solid understanding of Business Intelligence (BI) tools, Data Warehouse (DW), Data Modelling concepts and SQL/PLSQL. Pan India: India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1624_JOB Date Opened 08/12/2022 Industry Technology Job Type Work Experience 5-8 years Job Title Azure ADF & Power BI Developer City Mumbai Province Maharashtra Country India Postal Code 400001 Number of Positions 4 Roles & Responsibilities: Resource must have 5+ years of hands on experience in Azure Cloud development (ADF + DataBricks) - mandatory Strong in Azure SQL and good to have knowledge on Synapse / Analytics Experience in working on Agile Project and familiar with Scrum/SAFe ceremonies. Good communication skills - Written & Verbal Can work directly with customer Ready to work in 2nd shift Good in communication and flexible Defines, designs, develops and test software components/applications using Microsoft Azure- Data-bricks, ADF, ADL, Hive, Python, Data bricks, SparkSql, PySpark. Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Spark, PySpark Strong T-SQL skills with experience in Azure SQL DW Experience handling Structured and unstructured datasets Experience in Data Modeling and Advanced SQL techniques Experience implementing Azure Data Factory Pipelines using latest technologies and techniques. Good exposure in Application Development. The candidate should work independently with minimal supervision check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Dear Candidate, We are hiring a Data Warehouse Architect to design scalable, high-performance data warehouse solutions for analytics and reporting. Perfect for engineers experienced with large-scale data systems. Key Responsibilities: Design and maintain enterprise data warehouse architecture Optimize ETL/ELT pipelines and data modeling (star/snowflake schemas) Ensure data quality, security, and performance Work with BI teams to support analytics and reporting needs Required Skills & Qualifications: Proficiency with SQL and data warehousing tools (Snowflake, Redshift, BigQuery, etc.) Experience with ETL frameworks (Informatica, Apache NiFi, dbt, etc.) Strong understanding of dimensional modeling and OLAP Bonus: Knowledge of cloud data platforms and orchestration tools (Airflow) Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Develop and manage ETL pipelines using Python. Responsible for transforming and loading data efficiently from source to destination systems, ensuring clean and accurate data.

Design and implement ETL solutions using IBM InfoSphere DataStage to integrate and process large datasets. You will develop, test, and optimize data pipelines to ensure smooth data transformation and loading. Expertise in IBM InfoSphere DataStage, ETL processes, and data integration is essential for this position.

The BI Technical Administration role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the BI Technical Administration domain.

We are seeking a seasoned Technical Project Manager to oversee and guide large service engagements, involving teams of 35-50 individuals. This role requires a balance of technical know-how, exceptional leadership abilities, and proven project management skills.

Diverse Lynx is looking for Datastage Developer to join our dynamic team and embark on a rewarding career journey Analyzing business requirements and translating them into technical specifications Designing and implementing data integration solutions using Datastage Extracting, transforming, and loading data from various sources into target systems Developing and testing complex data integration workflows, including the use of parallel processing and data quality checks Collaborating with database administrators, data architects, and stakeholders to ensure the accuracy and consistency of data Monitoring performance and optimizing Datastage jobs to ensure they run efficiently and meet SLAs Troubleshooting issues and resolving problems related to data integration Knowledge of data warehousing, data integration, and data processing concepts Strong problem-solving skills and the ability to think creatively and critically Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders

4+ yrs experience Work from Office - 1st preference Kochi, 2nd preference Bangalore Good exp in any EtL tool Good knowledge in python Integration experience Good attitude and Cross skilling ability