7 Columnar Databases Jobs

You should have hands-on experience working with Columnar Databases (e.g., ClickHouse), Relational Databases (e.g., MySQL, PostgreSQL), and Document Databases (e.g., MongoDB). It is essential to possess proven expertise in setting up, configuring, scaling, and maintaining ClickHouse and MongoDB clusters. A strong background in schema design and development customized for specific use cases to ensure optimal performance and scalability is required. You must demonstrate the ability to optimize database performance through query tuning, indexing strategies, and resource management. Additionally, familiarity with backup, disaster recovery, and monitoring best practices for maintaining high-availability database environments is crucial.,

BI Tools or Data Acceleration/Data Processing deployment and administration Any previous experience of administering In memory columnar databases like Exasol, Greenplum, Vertica, Snowflake Strong analytical and problem-solving skills Ability to communicate orally and in writing in a clear and straightforward manner with a broad range of technical and non-technical users and stakeholders Proactive and focused on results and success; conveys a sense of urgency and drives issues to closure Should be a team player and leader, flexible, hardworking, and self-motivated and have a positive outlook with the ability to take on difficult initiatives and challenges Ability to handle multiple concurrent projects

As Senior Manager in Data Engineering, you are responsible for defining and executing data strategy for clients. Your role focused on high quality strategy, definition and delivery of solutions involving: Data Integration, Governance & Wrangling Data Storage and Computation Frameworks, Performance Optimizations Analytics & Visualizations Infrastructure & Cloud Computing Data Management Platforms The role requires a hands-on technologist withexpertisein databases, Hadoop, MDM and reportingto provide strategic and tactical direction to customers in the areas of marketing and technology.The person should have a strong programming background like Java. As data engineering practitioner, you should have a point of view and understanding of build vs. buy, performance considerations, hosting, business intelligence, reporting & analytics. Ideally, you have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view, etc. Responsibilities: Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goals Provide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementation Lead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and quality Help establish standard data practices like governance and address other non-functional issues like data security, privacy and quality Help establishbest practice like standards and guidelines for design & development, deployment, support and analytics and mining Help establish best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like social Come up with analytics solutions based on the business goals and appropriate data visualization to support the goals Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies Define and drive key transformational programs like customer 360 degree view for the clients Functional understanding related to digital marketing & customer experience solution blocks,Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, and DSP. Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Web log Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen etc.) and business application data (CRM, Ecommerce etc.) Run workshops with clients andalignclient stakeholders to optimal solutions Qualifications 12+ years of experience within the field of data engineering Excellent understanding of data technologieslandscape Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databases Well versed with Software as a service, Platform as a service and Infrastructure as a service concepts and can drive clients to a decision Expert in programming languages like Java, Scala and / or JavaScript Expert in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models Expert in one or more ETL, BI, Analytics and advanced visualization technologies Expertin in Hadoop eco-system with one or more distribution like Cloudera and HortonWorks Expert in agile development with CI / CD pipeline with data projects Knowledge in computation frameworks like Storm and Spark Knowledge in cloud and social media technologies and integrations Expert in master data management and building customer 360 degree views Strong analytical and problem solving skills Strong communication skills verbal, written and visual presentations Strong coordination and negotiation skills Multi geo experience and distributed delivery experience in large programs Business Knowledge:Data driven marketing experience would be a plus Education: Bachelor's/Master's Degree in Computer Engineering, Computer Science, or a related field. Additional Information Gender Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients businesses through designing the products and services their customers truly value.

As a valued member of SitusAMC, you will be part of a team dedicated to transforming our clients" businesses and fostering personal career development. Whether you are an experienced real estate professional, a technology enthusiast, or just starting your career journey, we invite you to join us in unlocking opportunities for all those we serve. We are committed to matching your unique skills and experiences with our exciting career opportunities, enabling you to achieve your full potential within the Real Estate Industry. If you are someone who values authenticity, advocates for others, embraces agility, dares to dream big, takes ownership of outcomes, and balances global vision with local impact, then we welcome you to be a part of our team! Your responsibilities will include: - Developing and implementing an organizational data strategy aligned with business processes, encompassing data model designs, database development standards, cloud/data warehouse management, and data analytics platforms. - Identifying internal and external data sources and devising a data management plan in line with the organizational data strategy. - Collaborating with cross-functional teams, stakeholders, and vendors to ensure the smooth operation of the Analytics data platform. - Managing the end-to-end data architecture, from platform selection to application development, testing, and implementation. - Planning and executing big data solutions utilizing cloud/on-premise technologies. - Defining data flow and information dissemination within the organization, ensuring data accessibility, accuracy, and security. - Overseeing Data governance and integrating technical functionality to maintain system performance and report any issues promptly. - Performing continuous audits of the data management system's performance and refining processes as needed. Qualifications/ Requirements: - Bachelor's degree or equivalent combination of education and experience. - Minimum of 8+ years of industry experience, with at least 2+ years in an AVP level role or equivalent. - Proficiency in systems development life cycle, project management, data modeling, data engineering, and database administration. - Familiarity with Analytics platform production, BI dashboards, ML algorithms, APIs, and data management/reporting technologies. - Ability to work with columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. The annual full-time base salary range for this role will be determined based on interviews, education, experience, skills, geographic location, and market data. Certain positions may also be eligible for discretionary bonuses based on program guidelines and senior management approval. SitusAMC provides a comprehensive and competitive benefits plan to support the well-being of our employees.,

BizViz is a company that offers a comprehensive view of a business's data, catering to various industries and meeting the diverse needs of business executives. With a dedicated team of over 50 professionals working on the BizViz platform for several years, the company aims to develop technological solutions that provide our clients with a competitive advantage. At BizViz, we are committed to the success of our customers, striving to create applications that align with their unique visions and requirements. We steer clear of generic ERP templates, offering businesses a more tailored solution. As a Big Data Engineer at BizViz, you will join a small, agile team of data engineers focused on building an innovative big data platform for enterprises dealing with critical data management and diverse application stakeholders at scale. The platform handles data ingestion, warehousing, and governance, allowing developers to create complex queries efficiently. With features like automatic scaling, elasticity, security, logging, and data provenance, our platform empowers developers to concentrate on algorithms rather than administrative tasks. We are seeking engineers who are eager for technical challenges, to enhance our current platform for existing clients and develop new capabilities for future customers. Key Responsibilities: - Work as a Senior Big Data Engineer within the Data Science Innovation team, collaborating closely with internal and external stakeholders throughout the development process. - Understand the needs of key stakeholders to enhance or create new solutions related to data and analytics. - Collaborate in a cross-functional, matrix organization, even in ambiguous situations. - Contribute to scalable solutions using large datasets alongside other data scientists. - Research innovative data solutions to address real market challenges. - Analyze data to provide fact-based recommendations for innovation projects. - Explore Big Data and other unstructured data sources to uncover new insights. - Partner with cross-functional teams to develop and execute business strategies. - Stay updated on advancements in data analytics, Big Data, predictive analytics, and technology. Qualifications: - BTech/MCA degree or higher. - Minimum 5 years of experience. - Proficiency in Java, Scala, Python. - Familiarity with Apache Spark, Hadoop, Hive, Spark SQL, Spark Streaming, Apache Kafka. - Knowledge of Predictive Algorithms, Mllib, Cassandra, RDMS (MYSQL, MS SQL, etc.), NOSQL, Columnar Databases, Big table. - Deep understanding of search engine technology, including Elasticsearch/Solr. - Experience in Agile development practices such as Scrum. - Strong problem-solving skills for designing algorithms related to data cleaning, mining, clustering, and pattern recognition. - Ability to work effectively in a matrix-driven organization under varying circumstances. - Desirable personal qualities: creativity, tenacity, curiosity, and a passion for technical excellence. Location: Bangalore To apply for this position, interested candidates can send their applications to careers@bdb.ai.,

Shift - 11am to 8 pm IST Mandatory - Strong knowledge of and hands-on development experience in Oracle PLSQL - Strong knowledge of and hands-on development experience SQL analytic functions. - Experience with developing complex, numerically-intense business logic. - Good knowledge of & experience in database performance tuning - Fluency in UNIX scripting. Good-to-have - Knowledge of/experience in any of python, Hadoop/ Hive/Impala, horizontally scalable databases, columnar databases - Oracle certifications - Any of DevOps tools/techniques CICD, Jenkins/GitLab, source control/git, deployment automation such Liquibase -Experience with Productions issues/deployments .

As a Lead Data Engineer, you will be responsible for leveraging your 7 to 12+ years of hands-on experience in SQL database design, data architecture, ETL, Data Warehousing, Data Mart, Data Lake, Big Data, Cloud (AWS), and Data Governance domains. Your expertise in a modern programming language such as Scala, Python, or Java, with a preference for Spark/ Pyspark, will be crucial in this role. Your role will require you to have experience with configuration management and version control apps like Git, along with familiarity working within a CI/CD framework. If you have experience in building frameworks, it will be considered a significant advantage. A minimum of 8 years of recent hands-on SQL programming experience in a Big Data environment is necessary, with a preference for experience in Hadoop/Hive. Proficiency in PostgreSQL, RDBMS, NoSQL, and columnar databases will be beneficial for this role. Your hands-on experience in AWS Cloud data engineering components, including API Gateway, Glue, IoT Core, EKS, ECS, S3, RDS, Redshift, and EMR, will play a vital role in developing and maintaining ETL applications and data pipelines using big data technologies. Experience with Apache Kafka, Spark, and Airflow is a must-have for this position. If you are excited about this opportunity and possess the required skills and experience, please share your CV with us at omkar@hrworksindia.com. We look forward to potentially welcoming you to our team. Regards, Omkar,