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2. Perform data migration and conversion activities.
3. Develop and integrate software applications using suitable development
methodologies and standards, applying standard architectural patterns, taking
into account critical performance characteristics and security measures.
4. Collaborate with Business Analysts, Architects and Senior Developers to
establish the physical application framework (e.g. libraries, modules, execution
environments).
5. Perform end to end automation of ETL process for various datasets that are
being ingested into the big data platform.
Primary responsibilities:
•Design, develop AWS IoT/Cloud-based applications using Typescript, Node.Js.
•Work closely with onsite, offshore, and cross functional teams, Product Management, frontend developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery.
•Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program.
•Assertive communication and team skills.
•This individual be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and an ability to work on multiple projects and function in a team environment.
Experience and Skills Required:
•More than 6 years of overall experience in Software domain.
•At least 3 years of experience in Cloud native applications.
•Solid working knowledge of Typescript, NodeJS.
•Thorough working knowledge in AWS, Lambdas, Microservices etc.,
•Experience in executing CI/CD processes
•Experience in Microservices Architecture
•Good Knowledge on Cloud security & security design control implementation.
•Knowledge of (AWS IoT Core) and In-depth knowledge of AWS cloud native services including Kinesis, DynamoDB, Neptune, Lambda, API Gateway, Timestream , IoT Core, GreenGrass, Aurora, Lambda, etc.
•Great knowledge in Agile/Scrum
Description:
As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights.
Key Responsibilities:
1. Team Leadership:
a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management.
b. Foster a culture of innovation, collaboration, and continuous learning within the team.
2. Data Pipeline Development (Google Cloud Focus):
a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.
b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP.
3. Data Architecture and Optimization:
a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently.
b. Optimize data storage, processing, and retrieval for maximum
performance and cost-effectiveness on GCP.
4. Data Governance and Quality:
a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues.
5. Cross-functional Collaboration:
a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights.
b. Participate in discussions regarding data strategy and provide technical expertise.
6. Documentation and Best Practices:
a. Create and maintain documentation for data engineering processes, standards, and best practices.
b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed.
Qualifications
● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform.
● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage.
● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java.
● Excellent problem-solving and communication skills.
● Leadership experience and the ability to manage and mentor a team.
About the company we are hiring for
Here, we are passionate about helping vacation rental owners and managers
grow their business. Backed by Bessemer Venture Partners, we have grown to the global
leader of short term rental revenue management systems that drive revenue growth. We
attribute our success to our belief that the people are the most important part of a
business, and our commitment to being a fantastic place to work.
It's with that in mind that it is looking to add a Customer Success Associate (Spanish
Speaking) to our growing team. We’ve recently built out a new pooled service offering for
our SMB segment and you will be a key asset in developing and executing the strategy. This
is an exciting opportunity for someone with a solid grasp of customer success processes
who’s looking to take their expertise and leverage it in a hybrid model of pooled service and
dedicated service! You’ll serve as the go-to resource for other team members. Retaining
customers ensures it can maintain its foothold as the market leader in the industry
and execute on our aggressive growth plans.
Before reading further...
It is passionate about diversity and cultivating our team’s potential. If you’re hungry
for a good opportunity, but don't meet every point in this job description, please apply
anyway!
As our Customer Success Associate, you'll be responsible for:
● Securing annual subscription renewals and upsell opportunities
● Driving customer adoption, retention, and satisfaction for assigned book of
accounts
● Monitoring and reporting on the health and risk of assigned accounts ●
Managing approximately 150-200 accounts at a time
● Analyzing customer performance data and making recommendations to ensure
revenue growth
● Providing thoughtful, empathetic, and personalized email communication postimplementation
● Supporting our internal Customer Success team by fulfilling partner requests in a timely
manner
● Assisting partners in solving technical and strategy related issues ● Providing best
practices and proactive outreach to partners to ensure they are on their journey to
success
● Maintaining a deep understanding of suite of products ● Working with crossfunctional teams to drive better collaboration and customer experience
● Being the voice of the customer back to our Product organization, communicate
trending customer feedback and ideas
So what kind of person are we looking for in this role? The person who will be
successful in this role will be:
● Curious: By nature, you have a knack for learning the ins-and-outs of software
●Going: You love going above and for teammates and customers
●Detail Oriented: You have a unique ability to proactively identify and address all
customer concerns and colleague needs with thoroughness and precision.
●Empathetic: You provide thoughtful communication which is the foundation of
strong relationships.
●Outgoing: You are enthusiastic and confident in your ability to quickly connect
with new people
Now that we've told you what the job looks like, here are the qualifications we're
looking for in a candidate:
● Willing and able to work in the CEST Time Zone
● 1-2 years of relevant customer success/support experience in a SaaS environment ●
Strong communication skills - you have experience explaining technical concepts to
customers in a professional and thoughtful manner
● Experience being customer centric - you have the ability to understand customer
pain points and genuine desire to help our customers resolve issues ● Experience
working with software or the ability to learn a wide variety of tools ● Fluent in
Spanish
Python Full stack developer.
1. Product based Full stack developer - Python back end - Core Python
2. Worked with Database - MongoDB/ MySql
3. Should have worked with ORMs
4. Knowledge of REST APIs
5. Should have developed Python applications.
6. Cloud Technology - Worked with AWS/ Azure. Not yet decided on what we
are going to go with.
7. Deplyment tools knowledge
8. Good knowledge of Front end dev - CSS/ JS/ React
9. Version Control - Git
10. Frameworks - Flask/ Django. (Ideally Flask)
11. Script writing
Should have worked on a full system design and architecture along with
coding up the same.
CommVault Consulting Services helps customers overcome the inherent challenges of independently designing, planning, and building-out new modern data & information management environments.
We have an outstanding career opportunity for a successful Implementation Specialist to be part of our Professional Services team. This team member will be part of our professional services organization and will report directly to the Area Services Manager. This new member will be responsible for delivering solution deployments to our customers throughout the US and Canada. The perfect candidate will bring a positive attitude, efficient time management, innovative ideas, hard work ethic, and deliver quality customer service to our clients.
Job Description
How You Will Make an Impact
- Interface directly with clients to review and discuss deployments, expanding the scale of these projects
- Complete the scope of work as defined by client and sales team
- Validate all CommVault-completed tasks to ensure proper final configuration of the Commvault solution with customer
- Ensure customer satisfaction during implementation
- Assist team members, as needed
What You Need to Be Ready
- 7+ years of data protection experience
- 2+ years of consulting experience
- Experience with disk/tape storage hardware (HDS, Dell/EMC, NetApp, Oracle, Quantum, etc.)
- Cloud storage experience (Azure, AWS, Oracle)
- Proficiency with backup and recovery of Microsoft SQL, Exchange, and SharePoint
- Technical skills in Oracle, SAP, or other database platforms
- Previous Experience with backup software
- CommVault certified
- Bachelor’s degree
Be a part of IOT Product portfolio and execute towards Digital Transformational initiatives.
Prepare design documents in collaboration with product managers and engineering squads
in development of use cases for new features.
Hands on product lead developer expertise in designing solutions running on hybrid cloud
environments.
Work as a Software Lead in application development using Java, JavaScript, Python, SQL and
other latest technologies running on AWS environments.
Drive Engineering activities in Microservices and Cloud based Architecture by leveraging
DevOps efficiencies and adopting new technology stack in AWS.
Drive communication and consistently report accurate product status for stakeholders
Able to lead a team of engineers, help them with technical issues. (80% self-work and 20%
influencing scrum engineers).
Balance time on development projects including Technical Design, Code Reviews, Mentoring,
and training. Able to break down requirements and build traceability in design and
implementation details.
Work with developers to define unit & automated tests and closely monitor development
milestones. Collaborate with scrum team to identify functional, system and end to end
integration of products leading to deployment.
Understand end to end flow in product development and able to prepare design documents
and present to Engineering and Product Leadership team.
Full stack product development experience.
Skills Required :
Bachelor’s/Master’s degree equivalent with strong knowledge methodology and tools.
8+ years working Experience in designing data, keyword driven or hybrid strategies; Ability
to troubleshoot and think out of the box
Experience in CICD pipeline configuration, creation, and maintenance – from build to deploy
to integration.
Experience in writing clear, concise and comprehensive design documents covering
functional and non-functional requirements.
Hands-on experience in large enterprise development in a multi-cloud environment.
Strong expertise over Java, Python language, Databases, experience in web Frameworks like
Django required for backend development.
Experience of working in AWS (S3, Lambda, RDS, Security, ILM and AWS Services).
Experience with Docker and Kubernetes for Container Management and Orchestration by
setting CI/CD Pipelines using Jenkins / Ansible.
Experience with API (REST/SOAP). Experienced in PowerBI, RDBMS, DB Architecture design
and good control over SQL queries.
Experience with any NoSQL Database, Caching and Messaging is a plus. Experience with
Messaging Tool and Caching Frameworks
Strong Understanding of fundamental concepts: Data Structures, Algorithms, OOPs
concepts, Design patterns and Architectures. Experience with Agile programming techniques
such as test-driven development. Design applications to optimize for performance and
usability.
We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
- The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
- Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
- Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.
SKILLS YOU MUST HAVE:
- Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,
RESPONSIBILITIES:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
- Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
- Work with complex SQL queries
- Work with Big Query with GA integration to extract data
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Filter Data by reviewing reports and performance indicators to identify and correct code problems
- Developing and maintaining databases, data systems reorganizing data in a readable format
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
- Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
- Performing analysis to assess quality and meaning of data
- Preparing reports for the management stating trends, patterns, and predictions using relevant data
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Robust understanding of Mix panel and Amplitude
Skill requirement:
- 6-8 years of experience in database management and a strong understanding of Google Analytics
- Strong mathematical skills to help collect, measure, organize, and analyze data
- Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Knowledge of data visualization software like Tableau
- Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
- Accuracy and attention to detail
- Adept at queries, advanced excel management, writing reports, and making presentations
- Team-working skills
- Verbal and Written communication skills
- Proven working experience in data analysis
- To Design and Develop Customer Focused Friendly Native Mobile App with good data security, good optimization, good ui ux, good performance


