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IT Project Manager – Team Lead
About the position:-
Responsibilities as a Project Manager:
- Stakeholder management, Budget management.
- · Merck specific Processes for project execution.
- Like Risk, info class, IT security etc.
- · Client communication and updates.
- · Daily monitoring and follow-up with development, testing, implementation teams for status update.
- · Project planning, estimation and scheduling the task/assignment for team. · Single point of contact for any other teams.
- · Close monitoring of allocation and utilization.
- · Status reporting to LT and stakeholders. ·
- Responsible for testing and releases. Coding standard and Documentation for project.
- · Responsible for Change and Risk management for the project.

- Should be able to write APIs and connect with external systems
- Should be able to develop plugins or modify existing plugins
Note: This is not a WordPress management role. Development experience is a must.
- Knowledge on CAMPUS LAN Architecture and implementation
- Having exposure to Cisco’s latest technologies like SDA, DNAC
- Hand-on experience on designing and implementing Cisco SDA
- Strong Routing & Switching, Cisco SDA, DNAC, Cisco ISE skillset is a must.
- Hands On expertise on Cisco Prime, ISE, Cisco Meraki
- Hands on and troubleshooting SDA
- Experience on L 3


Primary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
Requirements:
- Highly proficient in fundamentals of Python web development frameworks like Flask, Django and Fast API
- Demonstrated experience in developing APIs using Python frameworks
- Should have deep knowledge in PostgreSQL, MS SQL Server and other SQL based Databases
Job Description:
Proven experience with Hyperion Planning version 11.X version or EPM Cloud
Extensive experience in developing and maintaining Hyperion Planning and Essbase applications
Strong understanding of ASO and BSO cube development
Independently handle metadata build and security
Expert level knowledge in writing business rules
Knowledge of writing basic SQLs
Experience with SmartView, web forms, financial reports, MDX queries and MXL scripting
Oracle Relational Database experience and FDMEE experience is a plus
Deep functional and technical knowledge of financial systems and business processes, especially around planning, budgeting, forecasting
Apply structure knowledge to solve problems, break down issues and identify solutions.
Strong oral and written communication skills are essential for this role
The ability to work independently and be proactive
Knowledge of integration between external systems
Analytical and assessment skills essential
Proven experience in providing system support and direct contact with users to solve issues with business applications.
Candidate profile:
- The resource should be with Hyperion planning background.
- He should be ablet to understand the existing planning business rules with the help of Sutherland team.
- He should be able to independently develop/modify the Business rules. Sutherland team will provide the required design for the change requests.
- The resource is responsible for development, testing and production deployment and support after deployment.
JD:
- Experience in maintaining Oracle Exadata, RAC, and Administration of Oracle Multitenant Architecture.
- Implemented below Exadata new features like Smart scan, Flash cache, flash log, IORM, Storage indexes
- Using CellCli or dcli to manage Exadata storage server objects.
- Monitoring cell disk, grid disk, cell flash cache, flash disk
- Configured dcli between cell nodes and database nodes.
- Monitoring Exadata storage servers with cell metrics alerts and active requests.
- Migrating legacy database to Exadata.
- Experience in Exadata patching
- Experience in RAC along with new features like Flex ASM and Flex cluster.
- Resolve the issues like replace damaged physical disk or Flash disk.
- Installing & configuring Oracle Cluster ware & Database Software for Oracle 12c and 19c.
- Extensive Knowledge on Oracle Multitenant Architecture 12c and 19c.
- Experienced in Oracle installations, upgrades, migration, cloning, designing logical/physical architecture
- Database Refresh using Data pump.
- Expertise in Database upgrades, patching for standalone & RAC databases.
- Experienced in Database Point in Time Recovery.
- Enforcing security by creating roles, granting system and object privileges on the Tables, and stored procedures with DBA concepts.
- Knowledge on oracle enterprise management
- Implementation of db compression using Exadata HCC
- Running ExaCheck reports monthly
- Implementing smart flash cache, enabling flash cache write back
- Hardware changes , flash disk, griddisk and DIMM replacements
- Working knowledge on managing NFS mount points.
- ZFS share creation
- Huge pages setting

• Research prospects and generate leads
• Contact potential and existing customers by phone, email, etc
• Handle customer questions, inquiries, and complaints
• Meet daily, weekly, and monthly sales targets
Requirements
• Excellent customer service and sales skills
• Strong verbal communication and customer convincing skills
• Excellent calling and presentation skills
• Strong negotiation and problem-solving skills
Requirements:
- Retrieve Data from Databases
SSRS developers optimize SQL server queries to retrieve data efficiently and quickly. As
teams submit requests for different ways of doing things, SSRS developers work with them to find solutions that meet their needs.
- Design Data Solutions
To create and design best-practice data warehouse solutions that support business reporting tasks. This is achieved using different programs and software, such as Microsoft Excel, MS SQL Server, and Tableau.
- Create and Maintain Reporting Processes
To maintain a record of the different reporting processes in place. Evolve ways & means for a more effective data management.
- Resolve IT and Data Issues
- Provide Delivery Plans and Estimates for Projects
Responsibilities for Data Engineer
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

