11+ MicroStrategy administration Jobs in India

Familiar with the MicroStrategy architecture, Admin Certification Preferred

· Familiar with administrative functions, using Object Manager, Command Manager, installation/configuration of MSTR in clustered architecture, applying patches, hot-fixes

· Monitor and manage existing Business Intelligence development/production systems

· MicroStrategy installation, upgrade and administration on Windows and Linux platform

· Ability to support and administer multi-tenant MicroStrategy infrastructure including server security troubleshooting and general system maintenance.

· Analyze application and system logs while troubleshooting and root cause analysis

· Work on operations like deploy and manage packages, User Management, Schedule Management, Governing Settings best practices, database instance and security configuration.

· Monitor, report and investigate solutions to improve report performance.

· Continuously improve the platform through tuning, optimization, governance, automation, and troubleshooting.

· Provide support for the platform, report execution and implementation, user community and data investigations.

· Identify improvement areas in Environment hosting and upgrade processes.

· Identify automation opportunities and participate in automation implementations

· Provide on-call support for Business Intelligence issues

· Experience of working on MSTR 2021, MSTR 2021 including knowledge of working on Enterprise Manager and new features like Platform Analytics, Hyper Intelligence, Collaboration, MSTR Library, etc.

· Familiar with AWS, Linux Scripting

· Knowledge of MSTR Mobile

· Knowledge of capacity planning and system’s scaling needs

• Structured Query Language (SQL), e.g. SQL/PSM, Transact-SQL queries, writes SQL scripts in SQL Server 2000/2005/ 2012/ 2016, etc.
• 1+ years in Cloud Database services like AWS Dynamo DB / RDS
• Excellent Troubleshooting skills of existing functional implementation to derive leaner solutions and effective performance between applications software, systems software, and installed hardware.
• Database instance maintenance tasks such as DB Integrity Checks, Index Maintenance.
• High availability like clustering, log shipping, mirroring, replication.
• Backup and disaster recovery, Capacity planning and performance monitoring, Physical database structure, RDMS administration roles, instances, profiles, and security connectivity.
• Developing, implementing, maintaining, and following change control and testing processes for modifications to databases.
• Establishing backup and recovery or replication plans to minimize data loss and system downtime.
• Improving data quality through data analysis, monitoring, gap analyses, and working with the teams to provide solutions and resolve errors.
• Maintaining data integrity and security (manage roles and permissions of database users).
• Reviewing the security logs from the SQL Server Error Logs to determine if you had a breach or a violation in one of your policies.
• Ensures optimal database performance and availability.

·      Creation & maintenance of Databases in AWS.

Greetings !!!

Looking Urgently !!!

Exp-Min 10 Years

Location-Delhi

Sal-nego

Role

AWS Data Migration Consultant

Provide Data Migration strategy, expert review and guidance on Data Migration from onprem to AWS infrastructure that includes AWS Fargate, PostgreSQL, DynamoDB. This includes review and SME inputs on:

·       Data migration plan, architecture, policies, procedures

·       Migration testing methodologies

·       Data integrity, consistency, resiliency.

·       Performance and Scalability

·       Capacity planning

·       Security, access control, encryption

·       DB replication and clustering techniques

·       Migration risk mitigation approaches

·       Verification and integrity testing, reporting (Record and field level verifications)

·       Schema consistency and mapping

·       Logging, error recovery

·       Dev-test, staging and production artifact promotions and deployment pipelines

·       Change management

·       Backup, DR approaches and best practices.

Qualifications

• Worked on mid to large scale data migration projects, specifically from on-prem to AWS, preferably in BFSI domain
• Deep expertise in AWS Redshift, PostgreSQL, DynamoDB from data management, performance, scalability and consistency standpoint
• Strong knowledge of AWS Cloud architecture and components, solutions, well architected frameworks
• Expertise in SQL and DB performance related aspects
• Solution Architecture work for enterprise grade BFSI applications
• Successful track record of defining and implementing data migration strategies
• Excellent communication and problem solving skills
• 10+ Yrs experience in Technology, at least 4+yrs in AWS and DBA/DB Management/Migration related work
• Bachelors degree or higher in Engineering or related field

Purpose of Job:

Responsible for drawing insights from many sources of data to answer important business
questions and help the organization make better use of data in their daily activities.

Job Responsibilities:

We are looking for a smart and experienced Data Engineer 1 who can work with a senior
manager to
⮚ Build DevOps solutions and CICD pipelines for code deployment
⮚ Build unit test cases for APIs and Code in Python
⮚ Manage AWS resources including EC2, RDS, Cloud Watch, Amazon Aurora etc.
⮚ Build and deliver high quality data architecture and pipelines to support business
and reporting needs
⮚ Deliver on data architecture projects and implementation of next generation BI
solutions
⮚ Interface with other teams to extract, transform, and load data from a wide variety
of data sources
Qualifications:
Education: MS/MTech/Btech graduates or equivalent with focus on data science and
quantitative fields (CS, Eng, Math, Eco)
Work Experience: Proven 1+ years of experience in data mining (SQL, ETL, data
warehouse, etc.) and using SQL databases

Skills
Technical Skills
⮚ Proficient in Python and SQL. Familiarity with statistics or analytical techniques
⮚ Data Warehousing Experience with Big Data Technologies (Hadoop, Hive,
Hbase, Pig, Spark, etc.)
⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium,
Postman, Airflow, PySpark
Soft Skills
⮚ Deep Curiosity and Humility
⮚ Excellent storyteller and communicator
⮚ Design Thinking

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

• Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
• Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
• Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
• Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
• Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
• Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
• Analyse large amounts of information to discover trends and patterns
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\

• Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
• 2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
• Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
• Good understanding of AWS ecosystem for big data analytics
• Hands on experience in creating data pipelines either using tools or by independently writing scripts
• Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
• Strong problem solving skills with an emphasis on product development.
• Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)

Do you have a passion for using your skills to develop innovative technologies?  Are you interested in working on a team of professionals at a globally respected education organization and using your talents for building solutions that help thousands of students achieve success?  If so, join us and take your career to the next level. We are building a team of talented individuals to work on innovative products for education.

The Report Developer is a key contributor for information / data  management solutions. Conceptualizes, designs and manages a wide range of business, academic and digital analytic solutions.  Executes multiple projects including data sourcing, migration, quality, design, and implementation. The Report Developer partners with BI/Technology, Data Science, marketing/media, student enrollment advisors, faculty, academic administrators, strategy, planning and creative/user experience teams to plan, execute and evaluate a broad range of business, academic, marketing, and operations initiatives.   Identifies best practices in producing reliable dashboards, analytics, and reporting. This role requires stakeholder interaction, thus appropriate service-orientation and communications skills are required.

Successful candidates will have good communication and presentation skills, critical thinking skills, and the ability to break down complex problems. Quick learners are preferred over many years of experience, and associates who aspire to make a difference over those who aim to just fill orders​.

Key Responsibilities:

• Collaborates with SP&A team members / client groups to determine technical requirements of pending or current projects and develops analytical plans including proper selection of methodologies, techniques, KPIs and metrics.

• Ensures assigned work is completed for on time delivery.  

• Performs extraction of data sets from multiple sources/platforms including: student systems/data warehouse, web analytic tools, social listening tools, search tools, syndicated data, research & survey tools, etc. Implements hygiene and quality control steps.

• Conducts time series data analysis, segmentation, various metrics and key performance indicators, research & test design, significance testing, variance and growth calculations, forecasting, return on investment.

• Applies industry best practices in research, cutting edge analytic solutions with big data platforms and software to efficiently and effectively manage data.  

• Supports training within and across teams on complex data and infrastructure topics.

• Builds business intelligence reporting, adhoc solutions and / or dashboards across various platforms. 

• Develops and presents organized and clearly articulated analysis for stakeholder presentations.

• Applies knowledge of multi-channel marketing/research/academic learning principles. 

• Participates in the full lifecycle of Business Intelligence and Data Warehousing development process.

Qualifications:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Decision Sciences, Information Management, or related fields.

• 2-5 years of relevant experience in business, marketing, or academic reporting and analytics.

• Strong analytical and critical thinking skills.

• Strong written, verbal communications as well as presentation skills

• Advanced knowledge of data specifications, data governance, data warehouse and data structures 

• Proactive self-starter who can work collaboratively with cross-capability team members

• Advanced knowledge and competency of Excel

• In-depth knowledge of SQL, Tableau, Microsoft SQL Server, Reporting Services, Analysis Services, Transact SQL, Bower BI

• Familiarity with cloud based technologies, a definite asset

Cloud Platform Developer:

• 8 to 12 years of platform development experience with good knowledge on any virtualized platform (VMware ESXi, Linux KVM, Openstack, AWS, etc)
• Candidate must understand how to instantiate/provision/package VMs on cloud platforms – OVF/OVA, qcow2, etc.
• Strong in Shell and Python scripting; Knowledge of Apache Maven is plus.
• Knowledge of Ansible or Terraform will be useful
• Knowledge of Rift.io / Open source MANO / Restful APIs will be plus
• Good knowledge of Linux OS fundamentals – IPCs (sockets, shared memory, etc), multi-threading, Semaphores, IP routing, etc.
• Experience of working in an agile software development environment is critical
• Exposure to multiple aspect of product lifecycle process including requirement gathering, functional specification, design, development, testing, and maintenance.