9 Mpp Databases Jobs

As a Senior Analytics Engineer at Snowflake, you will play a crucial role in developing and maintaining data infrastructure for the Finance organization, contributing directly to Snowflake's success. Your responsibilities will include: - Utilizing SQL, Python, Snowflake, dbt, Airflow, and other systems within an agile development model to build and maintain data infrastructure for reporting, analysis, and automation. - Conducting data QA and creating automated testing procedures for Snowflake data models. - Translating reporting, analysis, and automation requirements into data model specifications. - Collaborating with IT and technical stakeholders to extract data from business systems and Snowflake databases. - Designing flexible and high-performance data models to support various use cases and promote single sources of truth. - Providing insights into data governance strategies, including permissions, security models, data lineage systems, and definitions. - Engaging with Finance BI and technical leads to define requirements, project plans, and perform user testing and QA. - Developing and managing user-friendly documentation for data models and key metrics. - Identifying and addressing weaknesses in processes, data, and systems to drive improvements within the Analytics Engineering team. To excel in this role, you will need: - 5+ years of experience as an analytics, data, or BI engineer. - Proficiency in advanced SQL skills for standardizing queries and building data infrastructure with large-scale relational datasets. - Hands-on experience using Python for data parsing, structuring, and transformation. - Familiarity with MPP databases like Snowflake, Redshift, BigQuery, or similar technologies. - Strong communication skills to collaborate effectively with diverse stakeholders. - Ability to prioritize and execute tasks in a dynamic and high-pressure environment. - Creative problem-solving skills and a keen eye for detail and quality. - Willingness to work flexible hours as required, including international time zones. - Experience with Excel, ERP, Salesforce, and Financial Planning tools. Snowflake is on a rapid growth trajectory, seeking individuals who align with their values, challenge conventional thinking, and drive innovation. If you are ready to make a significant impact, consider joining the Snowflake team. Please note that for detailed salary and benefits information for positions in the United States, refer to the job posting on the Snowflake Careers Site at careers.snowflake.com.,

As a Staff Cloud Support Engineer at Snowflake, you will drive technical solutions to complex problems, providing in-depth analysis and guidance to Snowflake customers and partners using various methods of communication like email, web, and phone. Your role involves adhering to response and resolution SLAs and escalation processes to ensure fast resolution of customer issues. You will demonstrate good problem-solving skills and be process-oriented while utilizing the Snowflake environment, connectors, 3rd party partners for software, and tools to investigate issues. Your responsibilities also include documenting known solutions to the internal and external knowledge base, submitting well-documented bugs and feature requests, proactively identifying recommendations, and leading global initiatives to improve product quality, customer experience, and team efficiencies. Additionally, you will provide support coverage during holidays and weekends based on business needs. To be an ideal Staff Cloud Support Engineer at Snowflake, you should have a Bachelor's or Master's degree in Computer Science or equivalent discipline, along with 8+ years of experience in a Technical Support environment or a similar customer-facing role. Excellent writing and communication skills in English, attention to detail, and the ability to work in a highly collaborative environment across global teams are essential. You should also have a clear understanding of data warehousing fundamentals and concepts, along with the ability to debug, rewrite, and troubleshoot complex SQL queries. The ideal candidate will possess strong knowledge of RDBMS, SQL data types, aggregations, and functions, as well as a good understanding of RDBMS query profiles and execution plans to analyze query performance. Proficiency in scripting/coding languages, experience in database migration and ETL, and familiarity with semi-structured data are also required. Additionally, having a clear understanding of Operating System internals, memory management, CPU management, and experience in RDBMS workload management is beneficial. Nice to have qualifications include experience working with distributed databases, troubleshooting skills on various operating systems, understanding of networking fundamentals, cloud computing security concepts, and proficiency in scripting languages like Python and JavaScript. Snowflake is seeking individuals who share their values, challenge ordinary thinking, push the pace of innovation, and contribute to the company's growth and success.,

As a Data Architect specializing in AWS Big Data solutions, you will play a crucial role in the design and optimization of complex data architectures. Your primary responsibility will be to leverage AWS services to create efficient and cost-effective Big Data solutions while maintaining a balance between cost and performance. This includes evaluating existing technologies, conducting impact assessments, optimizing designs, and documenting projects. Effective communication of architectural decisions, conducting Proof-of-Concepts, proposing automation solutions, and providing expert advice are integral parts of this role. Key Result Areas and Activities: - **Technology Assessment and Impact Analysis:** Evaluate current technology and data integration frameworks, and perform impact assessments based on project requirements. - **Big Data Use Case Design:** Develop intricate Big Data use cases using AWS services, with a focus on cost-effectiveness, performance, and durability. - **Optimization and Performance:** Recommend optimizations to enhance the balance between cost and performance in existing designs. - **Architectural Communication and Proof-of-Concepts:** Communicate architectural decisions with stakeholders, conduct Proof-of-Concepts, document outcomes, and lead design reviews. - **Process Improvement and Automation:** Implement automation strategies to streamline processes, boost team productivity, and offer expert advice, troubleshooting, and support for client proposals. **Essential Skills:** - Proficiency in AWS services such as S3, EC2, EMR, Athena, AWS Glue, Lambda, as well as AWS VPC, subnets, security groups, and route tables. - Expertise in MPP databases like AWS Redshift, Snowflake, SingleStore, and solid grasp of Data Warehousing concepts. - Strong knowledge of Big Data technologies, particularly Apache Spark, and experience with table formats like Delta Lake or Apache Iceberg. - Excellent programming skills in Scala and Python, proficiency in SQL, and experience with orchestration tools like Apache Airflow. - Skilled in developing ETL workflows with complex transformations like SCD, deduplication, and aggregation. - Familiarity with operating systems including Linux and Windows. **Desirable Skills:** - Previous experience in a large media company would be beneficial. Knowledge of Data Fabric and Data Mesh concepts. - Proficiency in Java, Bash programming languages, and Cloud Databases like AWS Aurora. **Qualifications:** - Bachelor's degree in computer science, engineering, or a related field (Master's degree preferred). - Continuous learning demonstrated through technical certifications or related methods. - 9 years of IT experience with a minimum of 5 years dedicated to cloud-related projects. **Qualities:** - Possess a strong technical background with the ability to conduct in-depth research across various technical domains. - Self-motivated and dedicated to delivering results for a rapidly growing team and organization. - Effective communication skills through written, verbal, and client presentations. - Efficient and well-organized in cross-functional teams and working across different time zones. This position is based in India and requires 9 to 12 years of experience in the field.,

As a Data Analyst at Snowflake, you will play a crucial role in supporting business decision-making practices within the Data Analytics Organization. Your primary responsibility will be to work closely with internal business and technical stakeholders to identify use cases, gather requirements for analysis, reporting, and automation. By researching data from key business systems, ingesting data into Snowflake, assessing data quality, mapping requirements, and designing end-to-end business intelligence solutions, you will directly impact Snowflake's success as a company. Your key responsibilities will include analyzing data to address critical business questions, creating insightful presentations based on your findings, and developing dashboards to deliver ongoing information and insights to internal stakeholders. Additionally, you will collaborate with the Accounting team, formulate project plans, provide status updates, and conduct user testing to ensure the quality of the deliverables. To excel in this role, you are required to have at least 3 years of experience as a data analyst or BI engineer. Strong SQL skills are essential, along with proficiency in using SQL for analysis, query standardization, and building large-scale relational datasets. Experience in developing enterprise-level reports using BI tools like Streamlit, Tableau, Power BI, or similar technologies is a must. Familiarity with MPP databases such as Snowflake, Redshift, or BigQuery will be advantageous. Your ability to communicate effectively with both technical and non-technical stakeholders, prioritize tasks in a dynamic environment, and take ownership of complex problems will be critical for success in this role. You should possess a keen eye for detail, a bias for action, and a drive for continuous improvement. Preferred skills for this position include experience with ERP and Financial Planning tools, proficiency in Python libraries such as Pandas, NumPy, and Plotly for data manipulation and visualization, as well as familiarity with agile frameworks like scrum or sprint. Snowflake offers a dynamic and fast-paced work environment where innovative thinking and pushing the boundaries of technology are encouraged. If you are driven by challenges, motivated by innovation, and seek to make a significant impact, Snowflake is the place for you to build a future for yourself while contributing to the growth of the company. Take the next step in your career by joining our team and shaping the future of the AI Data Cloud. For more details regarding salary and benefits for positions in the United States, please refer to the job posting on the Snowflake Careers Site at careers.snowflake.com.,

As a Staff Cloud Support Engineer at Snowflake, you will be a crucial part of the Snowflake Support team, dedicated to providing high-quality resolutions to help customers achieve data-driven business insights and results. You will work with a team of subject matter experts to ensure customer success by listening, learning, and building strong connections with customers. Your responsibilities will include working on a variety of technical issues related to operating systems, database technologies, big data, data integration, connectors, and networking. Customers will rely on you for technical guidance and expert advice on the effective and optimal use of Snowflake Data Warehouse. You will also be the voice of the customer, providing valuable product feedback and suggestions for improvement to Snowflake's product and engineering teams. In addition to providing exceptional service to customers, you will play a key role in building knowledge within the team and contributing to strategic initiatives for organizational and process improvements. Depending on business needs, you may work with Snowflake Priority Support customers, understanding their use cases and helping them achieve the highest levels of continuity and performance from their Snowflake implementation. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science or equivalent discipline, along with at least 8 years of experience in a Technical Support environment or a similar customer-facing technical role. You should possess excellent writing and communication skills in English, attention to detail, and the ability to work collaboratively across global teams. As a Staff Cloud Support Engineer, you will drive technical solutions to complex problems, adhere to response and resolution SLAs, and demonstrate strong problem-solving skills. You will utilize the Snowflake environment, connectors, and third-party partners for investigating issues, document solutions, and submit well-documented bugs and feature requests. Additionally, you will proactively identify recommendations for product quality improvement, customer experience enhancement, and team efficiencies. It is essential for you to have a clear understanding of data warehousing fundamentals and concepts, debug and troubleshoot complex SQL queries, and have strong knowledge of RDBMS, SQL data types, aggregations, and functions. Experience with database migration, ETL, scripting/coding in any programming language, and working knowledge of semi-structured data is also required. Proficiency in interpreting system performance metrics and understanding cloud service providers" ecosystems is beneficial. If you have experience working with distributed databases, troubleshooting various operating systems, understanding networking fundamentals, cloud computing security concepts, and proficiency in scripting languages such as Python and JavaScript, it would be a plus. Snowflake is looking for individuals who share their values, challenge conventional thinking, and drive innovation while contributing to the company's growth and success.,

As a Business Intelligence Analyst at Snowflake, you will play a crucial role in driving value through data analysis, reporting, and automation to directly contribute to Snowflake's success. Your primary responsibility will be collaborating with both business and technical stakeholders to identify use cases and deliver impactful business intelligence solutions. By researching and analyzing data from key business systems in conjunction with data engineering teams, you will design and implement data models and pipelines while upholding data quality standards. Furthermore, you will be in charge of building and maintaining enterprise-level dashboards and reports, managing and resolving data inconsistencies and performance issues, and driving continuous improvement through stakeholder feedback and feature enhancements. Your 4+ years of experience as a Data Analyst, BI Analyst, or BI Engineer will be essential in this role, along with advanced SQL skills and experience with MPP databases like Snowflake. Strong Python skills for data parsing, structuring, and transformation are required, as well as expertise in visualization tools such as Tableau, Power BI, or Looker. Joining the Snowflake team means being part of a dynamic environment at the forefront of data analytics and business intelligence, where your contributions directly impact company success. You will have the opportunity to work with cutting-edge technology, solve complex challenges, and collaborate with talented professionals while embracing values of innovation, ownership, and continuous learning. Snowflake's rapid growth necessitates scaling the team to enable and accelerate further expansion, making it crucial to find individuals who share the company's values and are willing to challenge the status quo while fostering innovation. If you are looking to make a significant impact in a fast-paced and innovative environment, consider joining Snowflake's team and be part of a future where both you and Snowflake can grow together. For further details on job opportunities in the United States, please visit the Snowflake Careers Site at careers.snowflake.com.,

As a Data Architect at Beinex located in Kochi, Kerala, you will be responsible for collaborating with the Sales team to build RFPs, Pre-sales activities, Project Delivery, and support. Your role will involve delivering on-site technical engagements with customers, participating in pre-sales visits, understanding customer requirements, defining project timelines, and implementing solutions. Additionally, you will work on both on and off-site projects to assist customers in migrating from their existing data warehouses to Snowflake and other databases. You should have at least 8 years of experience in IT platform implementation, development, DBA, and Data Migration in Relational Database Management Systems (RDBMS). Furthermore, you should possess 5+ years of hands-on experience in implementing and performance tuning MPP databases. Proficiency in Snowflake, Redshift, Databricks, or Azure Synapse is essential, along with the ability to prioritize projects effectively. Experience in analyzing Data Warehouses such as Teradata, Netezza, Oracle, and SAP will be valuable in this role. Your responsibilities will also include designing database environments, analyzing production deployments, optimizing performance, writing SQL, stored procedures, conducting Data Validation and Data Quality tests, and planning migrations to Snowflake. You will be expected to possess strong communication skills, problem-solving abilities, and the capacity to work effectively both independently and as part of a team. At Beinex, you will have access to various perks including comprehensive health plans, learning and development opportunities, workation and outdoor training, a hybrid working environment, and on-site travel opportunities. Join us to be a part of a dynamic team and advance your career in a supportive and engaging work environment.,

As a Business Intelligence Analyst at Snowflake, you will play a crucial role in driving value through data analysis, reporting, and automation to directly impact Snowflake's success. You will collaborate with business and technical stakeholders to identify use cases, research and analyze data, design and implement data models and pipelines, and build enterprise-level dashboards and reports. Your responsibilities will also include managing data inconsistencies and performance issues, driving continuous improvement through stakeholder feedback, and feature enhancements. To excel in this role, you should have at least 4 years of experience as a Data Analyst, BI Analyst, or BI Engineer, possess advanced SQL skills, and have experience working with MPP databases like Snowflake. Strong Python skills for data parsing, structuring, and transformation are essential, along with expertise in visualization tools such as Tableau, Power BI, or Looker. You should also demonstrate a proven ability to translate business questions into technical requirements, possess strong communication skills, and have experience working with senior stakeholders. Joining the Snowflake team will allow you to work at the forefront of data analytics and business intelligence, where your contributions will have a direct impact on company success. You will collaborate with talented professionals, use cutting-edge technology, and solve complex challenges in an environment that values innovation, ownership, and continuous learning. Snowflake is rapidly growing, and by joining our team, you will be part of a community that values challenging ordinary thinking and pushing the pace of innovation. If you are looking to make a significant impact and grow professionally while contributing to Snowflake's success, we encourage you to explore opportunities with us by visiting the Snowflake Careers Site for more information on salary and benefits.,

Join the Consumer & Community Banking division at Chase, a leading U.S. financial services firm as a skilled data professional in our Data & Analytics team. As an Analytical Solutions Manager within the Consumer and Community Banking (CCB) Finance Data & Insights Team, you will be a part of an agile product team responsible for the development, production, and transformation of financial data and reporting across the Consumer and Community Banking division. Your ability and passion to think beyond raw and disparate data will enable you to create data visualizations and intelligence solutions that will be utilized by the organization's top leaders to achieve key strategic imperatives. You will assist in identifying and assessing opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to implement automated solutions. You will be responsible for extracting, analyzing, and summarizing data for ad hoc stakeholder requests and play a significant role in transforming our data environment to a modernized cloud platform. Transform raw data into actionable insights, demonstrating a history of learning and implementing new technologies. Lead the Finance Data & Insights Team, an agile product team, taking responsibility for the development, production, and transformation of financial data and reporting across CCB. Improve the lives of our people and increase value to the firm by leveraging the power of data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future. Join an agile product team as an Analytical Solutions Manager on the CCB Finance Data & Insights Team, responsible for the development, production, and transformation of financial data and reporting across CCB. Lead conversations with business teams and create data visualizations and intelligence solutions utilized by the organization's top leaders to reach key strategic imperatives. Identify and assess opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to bring automated solutions to life. Extract, analyze, and summarize data for ad hoc stakeholder requests, playing a role in transforming the data environment to a modernized cloud platform. Minimum 8 years of experience in SQL is a MUST. Minimum 8 years of experience developing data visualization and presentations. Experience with data wrangling tools such as Alteryx. Experience with relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses. Knowledge of modern MPP databases and big-data (Hadoop) concepts. Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data. Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data. Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions. Data architecture experience is needed. Preferred qualifications, capabilities and skills include experience with LLM, Hive, Spark SQL, Impala, or other big-data query tool, Home Lending business understanding as a major advantage, and experience with AWS, Databricks, Snowflake, or other Cloud Data Warehouse, Thought Spot experience.,