6 Olap Databases Jobs

Job Description A passion for high quality software engineering and technology An interest in working on large-scale data challenges across different technologies Strong educational credentials Drive and ambition to achieve, thrive, and succeed Likes to solve challenges in connectivity space which offer mostly desktop system software experience Our engineering managers are both technically gifted and can work well with others to solve difficult problems. Technologies frequently change, and the successful candidate must have the ability to rapidly master new software languages and technologies. Tasks: Analyzes, designs, develops and documents commercial software products Work on the research, development, testing, and maintenance of one or more ISW products Demonstrates high aptitude in a variety of software engineering concepts, practices, and procedures Relies on extensive experience and judgment to plan and accomplish goals Take ownership of development work through to delivery, including fully automated testing of components Provides technical support to project team members. Participate in design and code reviews Manages the team as a supervisor and mentor to accomplish engineering tasks and objectives. Will perform team leadership for a team of engineers Sets goals and measures against the goals. Changes the processes and upskills the team as need arises Qualifications 14-17 years of desktop and web applications web and desktop applications leveraging industry standards Strong knowledge and experience in C, C++, VC++, MFC, Manage C++, WinForm and Java application development. 5+ years of People Management Experience managing and mentoring a team of 8+ Engineers and Senior Engineers Experience with OLAP databases (like TM1/Infor/SAP/Oracle) Experience with Microsoft Server Analysis Services (MDX) Knowledge on Linux (Ubuntu, RedHat) Proficiency in JAVA Spring Boot framework and frontend - Vue.js preferred Knowledge of RESTful APIs and integration techniques. Front end development: HTML, CSS, JavaScript, Vue.js Familiarity with public clouds such as AWS or Azure Familiarity with real-time streaming systems Knowledge of RESTful APIs and integration techniques. Familiarity with version control systems like Git. Strong problem-solving skills and attention to detail. Excellent communication and leadership skills. Collaborate with team members to define project requirements, priorities, and timelines. Familiarity with relational databases and SQL Good to have: Familiarity with Hazelcast in-memory data grid Shell scripting Additional Information All your information will be kept confidential according to EEO guidelines. .. At this time insightsoftware is not able to offer sponsorship to candidates who are not eligible to work in the country where the position is located . .. Background checks are required for employment with insightsoftware, where permitted by country, state/province. At insightsoftware, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

Job Description Principal Software Engineer The Platforms organization at Fanatics is at the heart of our company&aposs data-driven decision making, building foundational capabilities that empower our application/data engineers and data scientists to unlock the power of data. We work relentlessly on enhancing the fan experience With Exciting Projects Across a Diverse Landscape, Including Commerce Applications: Architecting and designing D2C and B2B commerce applications with workloads distributed across a multi-cloud topology to engage fans around the world. Storage Infrastructure: Building and managing scalable and reliable data storage solutions. Streaming Data Processing: Handling real-time data pipelines with high throughput and low latency. Data & Workflow Orchestration: Coordinating complex data processing workflows with efficiency and reliability. Messaging Infrastructure: Ensuring secure and efficient communication between applications. Big Data Processing: Analyzing massive datasets with speed and accuracy. Data Warehouse: Providing a centralized and accessible repository for historical data. Real Time OLAP Databases: Enabling fast and interactive data analysis for insights on the fly. AI & ML Platforms: Building and maintaining a robust platform that supports the development and deployment of impactful ML models to power applications in areas such as recommender systems and inventory intelligence The Opportunity We are seeking a passionate and experienced Principal Engineer to play a key role in shaping the future of our application, cloud, and data platforms at Fanatics. As a technical leader in the organization, you will be responsible for driving technical innovation, leading large initiatives, and mentoring junior engineers. You will have the opportunity to contribute to building scalable solutions that will empower our entire company to make data-driven decisions and operate more effectively. Responsibilities Design and drive the technical roadmap for the evolution of our platforms, ensuring they are scalable, reliable, and meet the evolving needs of the business. Lead large initiatives within the broader Fanatics tech org, collaborating effectively with cross-functional teams including engineering, data science, and product management. Provide mentorship and guidance to junior engineers, fostering their growth and development within the team. Build data platforms that promote standardization, including data pipeline development, platform tooling, data lake formatting, and data democratization. Build and maintain the AI/ML infrastructure to support Fanatics' AI/ML needs, with a focus on standardized MLOps practices, accelerating the adoption and deployment of impactful AI/ML applications across the company. Champion data and AI governance best practices, establishing and enforcing data processing principles, design patterns, and practices. Build strong cross-functional partnerships with teams across the organization, influencing them to adopt best practices and collaborate effectively. Qualifications 13+ years of experience leading the development of modern cloud-based applications and their integration into a common data platform (or data mesh) to enable business intelligence and optimization. Deep technical understanding of distributed systems architecture and the integration of operational systems with analytical systems to enable anomaly detection, business process mining, and optimization at scale. Strong expertise in the big data ecosystem, including tools like Apache Kafka, Spark, Iceberg, Airflow, AWS S3, data modeling, data warehouses, OLAP databases, etc. Proven experience in data processing, orchestration, data engineering, data quality management, and data governance. Excellent communication skills, with the ability to collaborate effectively across teams and provide clear and concise technical guidance. Experience with AI/ML platforms and a working knowledge of how data scientists leverage data for AI is a strong plus About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Show more Show less

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise Technology teams. As a Senior Data Engineer, you will: Collaborating closely with various stakeholders to prioritize requests, identify improvements, and offer recommendations. Taking the lead in analyzing, designing, and implementing data solutions, which involves constructing and designing data models and ETL processes. Cultivating collaboration with corporate engineering, product teams, and other engineering groups. Leading and mentoring engineering discussions, advocating for best practices. Actively participating in design and code reviews. Accessing and exploring third-party data APIs to determine the data required to meet business needs. Ensuring data quality and integrity across different sources and systems. Managing data pipelines for both analytics and operational purposes. Continuously enhancing processes and policies to improve SLA and SOX compliance. You'll be a great addition to the team if you have: Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field. Possess over 5 years of experience in Data Engineering, focusing on building and maintaining data environments. Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment. Exhibit a strong background in developing data products, APIs, and maintaining testing, monitoring, isolation, and SLA processes. Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). Proficient in programming with Python or other scripting languages. Have familiarity with columnar OLAP databases and data modeling. Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau. Possess excellent communication and interpersonal skills to effectively collaborate with various business stakeholders and translate requirements. Added bonus if you also have: A good understanding of Salesforce & Netsuite systems Experience in SAAS environments Designed and deployed ML models Experience with events and streaming data Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise Technology teams. As a Senior Data Engineer, you will: Collaborating closely with various stakeholders to prioritize requests, identify improvements, and offer recommendations. Taking the lead in analyzing, designing, and implementing data solutions, which involves constructing and designing data models and ETL processes. Cultivating collaboration with corporate engineering, product teams, and other engineering groups. Leading and mentoring engineering discussions, advocating for best practices. Actively participating in design and code reviews. Accessing and exploring third-party data APIs to determine the data required to meet business needs. Ensuring data quality and integrity across different sources and systems. Managing data pipelines for both analytics and operational purposes. Continuously enhancing processes and policies to improve SLA and SOX compliance. You'll be a great addition to the team if you have: Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field. Possess over 5 years of experience in Data Engineering, focusing on building and maintaining data environments. Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment. Exhibit a strong background in developing data products, APIs, and maintaining testing, monitoring, isolation, and SLA processes. Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). Proficient in programming with Python or other scripting languages. Have familiarity with columnar OLAP databases and data modeling. Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau. Possess excellent communication and interpersonal skills to effectively collaborate with various business stakeholders and translate requiremaob Title: Senior Software Engineer Full Stack Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai Timings: 11 AM 8 PM IST

As a QA Automation professional at InfoBeans, you will be responsible for developing and maintaining automated tests for server-side, client-side, and UI functionalities. Your role will also involve using tools like JMeter or Artillery to assess scalability and performance, automating UI tests with Playwright across browsers, and utilizing JEST for server-side API and backend service tests. Collaboration with developers and architects to define testing requirements and solutions, integrating automated tests into CI/CD pipelines, and generating actionable test reports for stakeholders will be crucial aspects of your job. In this role, you will have the opportunity to work in an open workspace with smart and pragmatic team members, offering professional and personal growth. The learning culture at InfoBeans encourages teamwork, collaboration, and diversity while rewarding excellence, compassion, openness, and ownership. To excel in this position, you should bring experience in web-based applications with AWS infrastructure, effective communication skills with technical staff, hands-on JavaScript experience, and expertise in using JMeter, Artillery, JEST, and Playwright for performance and test automation. Proficiency in Git version control, excellent time management skills, and strong English communication skills are essential. Additionally, you must be legally entitled to work in the country where the role is located and be willing to travel internationally with a valid passport. An understanding of single-page applications using technologies such as HTML, XML, JavaScript, AngularJS, CSS, RESTful Web Services, C#, SQL RDBMS, OLAP databases, and cloud-based software security considerations would be advantageous. Academic or practical knowledge of Accounting and/or Financial concepts is also ideal for this role.,

We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and experience with cloud services and SQL/NoSQL databases. You will work closely with our cross functional stakeholders in Product, Finance and GTM along with Business and Enterprise Technology teams. As a Senior Data Engineer, you will: Collaborating closely with various stakeholders to prioritize requests, identify improvements, and offer recommendations. Taking the lead in analyzing, designing, and implementing data solutions, which involves constructing and designing data models and ETL processes. Cultivating collaboration with corporate engineering, product teams, and other engineering groups. Leading and mentoring engineering discussions, advocating for best practices. Actively participating in design and code reviews. Accessing and exploring third-party data APIs to determine the data required to meet business needs. Ensuring data quality and integrity across different sources and systems. Managing data pipelines for both analytics and operational purposes. Continuously enhancing processes and policies to improve SLA and SOX compliance. You'll be a great addition to the team if you have: Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field. Possess over 5 years of experience in Data Engineering, focusing on building and maintaining data environments. Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLA-driven environment. Exhibit a strong background in developing data products, APIs, and maintaining testing, monitoring, isolation, and SLA processes. Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). Proficient in programming with Python or other scripting languages. Have familiarity with columnar OLAP databases and data modeling. Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau. Possess excellent communication and interpersonal skills to effectively collaborate with various business stakeholders and translate requirements. Added bonus if you also have: A good understanding of Salesforce & Netsuite systems Experience in SAAS environments Designed and deployed ML models Experience with events and streaming data