We are a fast-growing digital, cloud, and mobility services provider with a principal market being North
America. We are looking for talented database/SQL experts for the management and analytics of large
data in various enterprise projects.
Responsibilities
Translate business needs to technical specifications
Manage and maintain various database servers (backup, replicas, shards, jobs)
Develop and execute database queries and conduct analyses
Occasionally write scripts for ETL jobs.
Create tools to store data (e.g. OLAP cubes)
Develop and update technical documentation
Requirements
Proven experience as a database programmer and administrator
Background in data warehouse design (e.g. dimensional modeling) and data mining
Good understanding of SQL and NoSQL databases, online analytical processing (OLAP) and ETL
(Extract, transform, load) framework
Advance Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server
Integration Services (SSIS)
Familiarity with BI technologies (strong Tableu hands-on experience) is a plus
Analytical mind with a problem-solving aptitude
Subodh Popalwar
Software Engineer, Memorres
About Simform Solutions
Similar jobs
Must Have Skills:
- Solid Knowledge on DWH, ETL and Big Data Concepts
- Excellent SQL Skills (With knowledge of SQL Analytics Functions)
- Working Experience on any ETL tool i.e. SSIS / Informatica
- Working Experience on any Azure or AWS Big Data Tools.
- Experience on Implementing Data Jobs (Batch / Real time Streaming)
- Excellent written and verbal communication skills in English, Self-motivated with strong sense of ownership and Ready to learn new tools and technologies
Preferred Skills:
- Experience on Py-Spark / Spark SQL
- AWS Data Tools (AWS Glue, AWS Athena)
- Azure Data Tools (Azure Databricks, Azure Data Factory)
Other Skills:
- Knowledge about Azure Blob, Azure File Storage, AWS S3, Elastic Search / Redis Search
- Knowledge on domain/function (across pricing, promotions and assortment).
- Implementation Experience on Schema and Data Validator framework (Python / Java / SQL),
- Knowledge on DQS and MDM.
Key Responsibilities:
- Independently work on ETL / DWH / Big data Projects
- Gather and process raw data at scale.
- Design and develop data applications using selected tools and frameworks as required and requested.
- Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
- Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.
- Work closely with the engineering team to integrate your work into our production systems.
- Process unstructured data into a form suitable for analysis.
- Analyse processed data.
- Support business decisions with ad hoc analysis as needed.
- Monitoring data performance and modifying infrastructure as needed.
Responsibility: Smart Resource, having excellent communication skills
Python1. Bridging the gap between IT and the business using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.
2. Ability to search, extract, transform and load data from various databases, cleanse and refine data until it is fit-for-purpose
3. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met
4. Prioritization of issues to meet deadlines while ensuring high-quality delivery
5. Ability to pull data and to perform ad hoc reporting and analysis as needed
6. Ability to adapt quickly to new and changing technical environments as well as strong analytical and problem-solving abilities
7. Strong interpersonal and presentation skills
SKILLS:
1. Advanced skills in designing reporting interfaces and interactive dashboards in Google Sheets and Excel
2. Experience working with senior decision-makers
3. Strong advanced SQL/MySQL and Python skills with the ability to fetch data from the Data Warehouse as per the stakeholder's requirement
4. Good Knowledge and experience in Excel VBA and advanced excel
5. Good Experience in building Tableau analytical Dashboards as per the stake holder's reporting requirements
6. Strong communication/interpersonal skills
PERSONA:
1. Experience in working on adhoc requirements
2. Ability to toggle around with shifting priorities
3. Experience in working for Fintech or E-commerce industry is preferable
4. Engineering 2+ years of experience as a Business Analyst for the finance processes
Machine Learning (ML)
Data ScienceSenior Data Scientist
Your goal: To improve the education process and improve the student experience through data.
The organization: Data Science for Learning Services Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.
The Role: Senior Data Scientist
As a Senior Data Scientist, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.
Responsibilities:
• Translate product requirements into AIML/NLP solutions
• Be able to think out of the box and be able to design novel solutions for the problem at hand
• Write production-quality code
• Be able to design data and annotation collection strategies
• Identify key evaluation metrics and release requirements for data products
• Integrate new data and design workflows
• Innovate, share, and educate team members and community
Requirements:
• Working experience in machine learning, NLP, recommendation systems, experimentation, or related fields, with a specialization in NLP • Working experience on large language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred
• Knowledge on MLOPs and deployment pipelines is a must
• Expertise on supervised, unsupervised and reinforcement ML algorithms.
• Strong programming skills in Python
• Top data wrangling skills using SQL or NOSQL queries
• Experience using containers to deploy real-time prediction services
• Passion for using technology to help students
• Excellent communication skills
• Good team player and a self-starter
• Outstanding analytical and problem-solving skills
• Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.
Why do we exist?
Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more, to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.
Video Shorts
Life at Chegg: https://jobs.chegg.com/Video-Shorts-Chegg-Services
Certified Great Place to Work!: http://reviews.greatplacetowork.com/chegg
Chegg India: http://www.cheggindia.com/
Chegg Israel: http://insider.geektime.co.il/organizations/chegg
Thinkful (a Chegg Online Learning Service): https://www.thinkful.com/about/#careers
Chegg out our culture and benefits!
http://www.chegg.com/jobs/benefits
https://www.youtube.com/watch?v=YYHnkwiD7Oo
Chegg is an equal-opportunity employer
Data AnalyticsAbout our Client :-
Our Client is a global data and measurement-driven media agency whose mission is to make brands more valuable to the world. Clients include Google, Flipkart, NBCUniversal, L'Oréal and the Financial Times. The agency is more than 2,000 people strong, manages $4.5B in annualized media spend, and deploys campaigns in 121 markets via 22 offices in APAC, EMEA and the Americas.
About the role :-
Accountable for quantifying and measuring the success of our paid media campaigns and for delivering insights that enable us to innovate the work we deliver at MFG. Leading multi-product projects, developing best practices, being the main point of contact for other teams and direct line management for multiple team members.
Some of the things we’d like you to do -
● Build a deep understanding of marketing plans and their objectives to help Account teams (Activation, Planning, etc) build comprehensive measurement, and test & learn plans
● Play an instrumental role in evolving and designing new, innovative measurement tools. Managing the process through to delivery and take ownership of global roll out
● Recruit, manage and mentor analytical resource(s), ensuring the efficient flow of work through the team, the timely delivery of high-quality outputs and their continuing development as professionals
● Lead the creation of clear, robust and thought-provoking campaign reviews and insights
● Work with Account teams (Activation, Planning, etc) to help define the correct questions to understand correct metrics for quantifying campaign performance
● To help deliver “best in class” analytical capabilities across the agency with the wider Analytics team, including the use of new methods, techniques, tools and systems
● Develop innovative marketing campaigns and assist clients to define objectives
● Develop deep understanding of marketing platform testing and targeting abilities, and act in a consultative capacity in their implementation
● Provide hands-on leadership, mentorship, and coaching in the expert delivery of data strategies, AdTech solutions, audiences solutions and data management solutions to our clients
● Leading stakeholder management on certain areas of the client portfolio
● Coordination and communication with 3rd party vendors to critically assess new/bespoke measurement solutions. Includes development and management of contracts and SOWs.
A bit about yourself -
● 8+ years of experience in a data & insight role; practical experience on how analytical techniques/models are used in marketing. Previous agency, media, or consultancy background is desirable.
● A proven track record in working with a diverse array of clients to solve complex problems and delivering demonstrable business success. Including (but not limited to) the development of compelling and sophisticated data strategies and AdTech / martech strategies to enable
marketing objectives.
● Ideally you have worked with Ad Platforms, DMPs, CDPs, Clean Rooms, Measurement Platforms, Business Intelligence Tools, Data Warehousing and Big Data Solutions to some degree
● 3+ years of management experience and ability to delegate effectively
● Proficiency with systems such as SQL, Social Analytics tools, Python, and ‘R’
● Understand measurement for both Direct Response and Brand Awareness campaigns desired
● Excellent at building and presenting data in a visually engaging and insightful manner that cuts through the noise
● Strong organizational and project management skills including team resourcing
● Strong understanding of what data points can be collected and analyzed in a digital campaign, and how each data point should be analyzed
● Established and professional communication, presentation, and motivational skills
Data AnalyticsAs the successful candidate, you will be required to:
- Design, develop and maintain data quality assurance framework
- Work in conjunction with BI and Data Engineers to ensure high quality Data Deliverable
- Design and develop testing frameworks to test ETL jobs, BI reports and Dashboards and other data pipelines
- Write SQL scripts to validate data in the data repositories against the data in the source systems
- Write SQL scripts to validate data surfacing in BI assets against the data sources
- Ensure data quality by checking against our ODS and the front-end application
- Track, monitor and document testing results
To be eligible for this role, you should possess the following:
- Demonstrated ability to write complex SQL/TSQL queries to retrieve/modify data
- Ability to work in an Agile environment
- Ability to learn new tools and technologies and adapt to an evolving tech-scape
Envoy Global is an equal opportunity employer and will recruit, hire, train and promote into all job levels the most qualified applicants without regard to race, colour, religion, sex, national origin, age, disability, ancestry, sexual orientation, gender identification, veteran status, pregnancy, or any other protected classification.
About the role
- Collaborating with a team of like-minded and experienced engineers for Tier 1 customers, you will focus on data engineering on large complex data projects. Your work will have an impact on platforms that handle crores of customers and millions of transactions daily.
- As an engineer, you will use the latest cloud services to design and develop reusable core components and frameworks to modernise data integrations in a cloud first world and own those integrations end to end working closely with business units. You will design and build for efficiency, reliability, security and scalability. As a consultant, you will help drive a data engineering culture and advocate best practices.
Mandatory experience
- 1-6 years of relevant experience
- Strong SQL skills and data literacy
- Hands-on experience designing and developing data integrations, either in ETL tools, cloud native tools or in custom software
- Proficiency in scripting and automation (e.g. PowerShell, Bash, Python)
- Experience in an enterprise data environment
- Strong communication skills
Desirable experience
- Ability to work on data architecture, data models, data migration, integration and pipelines
- Ability to work on data platform modernisation from on-premise to cloud-native
- Proficiency in data security best practices
- Stakeholder management experience
- Positive attitude with the flexibility and ability to adapt to an ever-changing technology landscape
- Desire to gain breadth and depth of technologies to support customer's vision and project objectives
What to expect if you join Servian?
- Learning & Development: We invest heavily in our consultants and offer internal training weekly (both technical and non-technical alike!) and abide by a ‘You Pass We Pay” policy.
- Career progression: We take a longer term view of every hire. We have a flat org structure and promote from within. Every hire is developed as a future leader and client adviser.
- Variety of projects: As a consultant, you will have the opportunity to work across multiple projects across our client base significantly increasing your skills and exposure in the industry.
- Great culture: Working on the latest Apple MacBook pro in our custom designed offices in the heart of leafy Jayanagar, we provide a peaceful and productive work environment close to shops, parks and metro station.
- Professional development: We invest heavily in professional development both technically, through training and guided certification pathways, and in consulting, through workshops in client engagement and communication. Growth in our organisation happens from the growth of our people.
PythonResponsibilities
- Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
- Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
- Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
- Manage backup and security of Data Integration Infrastructure.
- Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
- Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
- Develop and interpret organizational goals, policies, and procedures.
- Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
- Prepare and review operational reports or project progress reports.
- Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
- Work with vendors to manage support SLA’s and influence vendor product roadmap
- Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
- Work with cross functional operations teams such as systems, storage and network to design technology stacks.
Preferred Qualifications
- Minimum 6+ years’ experience as Informatica Engineer and Developer role
- Minimum of 5+ years’ experience in an ETL environment as a developer.
- Minimum of 5+ years of experience in SQL coding and understanding of databases
- Proficiency in Python
- Proficiency in command line troubleshooting
- Proficiency in writing code in Perl/Shell scripting languages
- Understanding of Java and concepts of Object-oriented programming
- Good understanding of systems, networking, and storage
- Strong knowledge of scalability and high availability
Amazon Web Services (AWS)
Job Description
Role requires experience in AWS and also programming experience in Python and Spark
Roles & Responsibilities
You Will:
- Translate functional requirements into technical design
- Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core cloud services needed to fulfil the technical design
- Design, Develop and Deliver data integration interfaces in the AWS
- Design, Develop and Deliver data provisioning interfaces to fulfil consumption needs
- Deliver data models on Cloud platform, it could be on AWS Redshift, SQL.
- Design, Develop and Deliver data integration interfaces at scale using Python / Spark
- Automate core activities to minimize the delivery lead times and improve the overall quality
- Optimize platform cost by selecting right platform services and architecting the solution in a cost-effective manner
- Manage code and deploy DevOps and CI CD processes
- Deploy logging and monitoring across the different integration points for critical alerts
You Have:
- Minimum 5 years of software development experience
- Bachelor's and/or Master’s degree in computer science
- Strong Consulting skills in data management including data governance, data quality, security, data integration, processing and provisioning
- Delivered data management projects in any of the AWS
- Translated complex analytical requirements into technical design including data models, ETLs and Dashboards / Reports
- Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
- Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
- Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
- Strong knowledge of continuous integration, static code analysis and test-driven development
- Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
- Must have Excellent analytical and problem-solving skills
- Delivered change management initiatives focused on driving data platforms adoption across the enterprise
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations
Data AnalyticsAbout -
https://www.logixhealth.com/" target="_blank">https://www.logixhealth.com/Relevant Years of Exp - Minimum 4-8 years of experience in data analysis, data reporting, identify and analyze pattern/trends.Knowledge Skill Sets -§ Experience with Tableau dashboard
§ Careful and attentive to details
§ Willing and eager to call out mistakes
§ Beginner to intermediate knowledge of relational databases, reporting, business intelligence
§ Professional communicator
§ Inquisitive/Curious readily asking questions about anything that doesn’t make sense or feels right
§ Good interpersonal skills with a proven ability to communicate effectively (both written and verbal).
§ Well-developed skill in MS Excel
§ Displays awareness of the need for confidentially in sensitive matters.
§ Eye for detailing.Role Description -§ Execute tasks assigned by reporting manager and/or Bedford SPOC
§ Identify, analyze, and interpret trends or patterns
§ Audit and report discrepancies/inconsistencies in Tableau reports/dashboards
§ Publish weekly/monthly reports in pre-defined format and frequency to reporting managerJob Purpose -§ Prepare reports using Tableau for delivery to clients
§ Adjust parameters and prepare custom reports using previously built dashboards.
§ Print reports to PDF and deliver to folders on a predetermined schedule
§ Become familiar with Tableau - our clients, created workbooks, parameters, filters, and databases
§ QA existing dashboards and look for inconsistencies in naming, filters, charts, tables, etcNote - Looking for Immediate joiner with N.P. of 30 days.Timing - US shift (6 p.m. - 3.30 a.m.)Benefits - Transport facility + Night shift Allowance.Location - Domlur.Working - 5 days.Reach me ASAP if exploring opportunity with updated resume -
--Thanks and Regards,M.SwatiAssociate Consultant#intelligenthiringIndia | Singaporehttp://www.turtlebowl.com/" target="_blank">www.turtlebowl.com
PythonMachine Learning (ML)
Deep Learning
Follow CutshortSubodh Popalwar
Software Engineer, Memorres