What is the role?
You will be responsible for building and maintaining highly scalable data infrastructure for our cloud-hosted SAAS product. You will work closely with the Product Managers and Technical team to define and implement data pipelines for customer-facing and internal reports.
Key Responsibilities
- Design and develop resilient data pipelines.
- Write efficient queries to fetch data from the report database.
- Work closely with application backend engineers on data requirements for their stories.
- Designing and developing report APIs for the front end to consume.
- Focus on building highly available, fault-tolerant report systems.
- Constantly improve the architecture of the application by clearing the technical backlog.
- Adopt a culture of learning and development to constantly keep pace with and adopt new technolgies.
What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
- Education - BE/MCA or equivalent
- Overall 8+ years of experience
- Expert level understanding of database concepts and BI.
- Well verse in databases such as MySQL, MongoDB and hands on experience in creating data models.
- Must have designed and implemented low latency data warehouse systems.
- Must have strong understanding of Kafka and related systems.
- Experience in clickhouse database preferred.
- Must have good knowledge of APIs and should be able to build interfaces for frontend engineers.
- Should be innovative and communicative in approach
- Will be responsible for functional/technical track of a project
Whom will you work with?
You will work with a top-notch tech team, working closely with the CTO and product team.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.
We are
Xoxoday is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II, Xoxoday offers a suite of three products - Plum, Empuls, and Compass. Xoxoday works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, Xoxoday is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
About xoxoday
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Job Responsibilities:
1. Develop/debug applications using Python.
2. Improve code quality and code coverage for existing or new program.
3. Deploy and Integrate the Machine Learning models.
4. Test and validate the deployments.
5. ML Ops function.
Technical Skills
1. Graduate in Engineering or Technology with strong academic credentials
2. 4 to 8 years of experience as a Python developer.
3. Excellent understanding of SDLC processes
4. Strong knowledge of Unit testing, code quality improvement
5. Cloud based deployment and integration of applications/micro services.
6. Experience with NoSQL databases, such as MongoDB, Cassandra
7. Strong applied statistics skills
8. Knowledge of creating CI/CD pipelines and touchless deployment.
9. Knowledge about API, Data Engineering techniques.
10. AWS
11. Knowledge of Machine Learning and Large Language Model.
Nice to Have
1. Exposure to financial research domain
2. Experience with JIRA, Confluence
3. Understanding of scrum and Agile methodologies
4. Experience with data visualization tools, such as Grafana, GGplot, etc
Primary Duties and Responsibilities
- Experience with Informatica Multidomain MDM 10.4 tool suite preferred
- Partnering with data architects and engineers to ensure an optimal data model design and implementation for each MDM domain in accordance with industry and MDM best practices
- Works with data governance and business steward(s) to design, develop, and configure business rules for data validation, standardize, match, and merge
- Implementation of Data Quality policies, procedures and standards along with Data Governance Team for maintenance of customer, location, product, and other data domains; Experience with Informatica IDQ tool suite preferred.
- Performs data analysis and source-to-target mapping for ingest and egress of data.
- Maintain compliance with change control, SDLC, and development standards.
- Champion the creation and contribution to technical documentation and diagrams.
- Establishes a technical vision and strategy with the team and works with the team to turn it into reality.
- Emphasis on coaching and training to cultivate skill development of team members within the department.
- Responsible for keeping up with industry best practices and trends.
- Monitor, troubleshoot, maintain, and continuously improve the MDM ecosystem.
Secondary Duties and Responsibilities
- May participate in off-hours on-call rotation.
- Attends and is prepared to participate in team, department and company meetings.
- Performs other job related duties and special projects as assigned.
Supervisory Responsibilities
This is a non-management role
Education and Experience
- Bachelor's degree in MIS, Computer Sciences, Business Administration, or related field; or High School Degree/General Education Diploma and 4 years of relevant experience in lieu of Bachelor's degree.
- 5+ years of experience in implementing MDM solutions using Informatica MDM.
- 2+ years of experience in data stewardship, data governance, and data management concepts.
- Professional working knowledge of Customer 360 solution
- Professional working knowledge in multi domain MDM data modeling.
- Strong understanding of company master data sets and their application in complex business processes and support data profiling, extraction, and cleansing activities using Informatica Data Quality (IDQ).
- Strong knowledge in the installation and configuration of the Informatica MDM Hub.
- Familiarity with real-time, near real-time and batch data integration.
- Strong experience and understanding of Informatica toolsets including Informatica MDM Hub, Informatica Data Quality (IDQ), Informatica Customer 360, Informatica EDC, Hierarchy Manager (HM), Business Entity Service Model, Address Doctor, Customizations & Composite Services
- Experience with event-driven architectures (e.g. Kafka, Google Pub/Sub, Azure Event Hub, etc.).
- Professional working knowledge of CI/CD technologies such as Concourse, TeamCity, Octopus, Jenkins, and CircleCI.
- Team player that exhibits high energy, strategic thinking, collaboration, direct communication and results orientation.
Physical Requirements
- Visual requirements include: ability to see detail at near range with or without correction. Must be physically able to perform sedentary work: occasionally lifting or carrying objects of no more than 10 pounds, and occasionally standing or walking, reaching, handling, grasping, feeling, talking, hearing and repetitive motions.
Working Conditions
- The duties of this position are performed through a combination of an open office setting and remote work options. Full remote work options available for employees that reside outside of the Des Moines Metro Area. There is frequent pressure to meet deadlines and handle multiple projects in a day.
Equipment Used to Perform Job
- Windows, or Mac computer and various software solutions.
Financial Responsibility
- Responsible for company assets including maintenance of software solutions.
Contacts
- Has frequent contact with office personnel in other departments related to the position, as well as occasional contact with users and customers. Engages stakeholders from other area in the business.
Confidentiality
- Has access to confidential information including trade secrets, intellectual property, various financials, and customer data.
About Kloud9:
Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.
Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.
At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.
Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.
We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.
What we are looking for:
● 3+ years’ experience developing Big Data & Analytic solutions
● Experience building data lake solutions leveraging Google Data Products (e.g. Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.), Hive, Spark
● Experience with relational SQL/No SQL
● Experience with Spark (Scala/Python/Java) and Kafka
● Work experience with using Databricks (Data Engineering and Delta Lake components)
● Experience with source control tools such as GitHub and related dev process
● Experience with workflow scheduling tools such as Airflow
● In-depth knowledge of any scalable cloud vendor(GCP preferred)
● Has a passion for data solutions
● Strong understanding of data structures and algorithms
● Strong understanding of solution and technical design
● Has a strong problem solving and analytical mindset
● Experience working with Agile Teams.
● Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
● Able to quickly pick up new programming languages, technologies, and frameworks
● Bachelor’s Degree in computer science
Why Explore a Career at Kloud9:
With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers!
This profile will include the following responsibilities:
- Develop Parsers for XML and JSON Data sources/feeds
- Write Automation Scripts for product development
- Build API Integrations for 3rd Party product integration
- Perform Data Analysis
- Research on Machine learning algorithms
- Understand AWS cloud architecture and work with 3 party vendors for deployments
- Resolve issues in AWS environmentWe are looking for candidates with:
Qualification: BE/BTech/Bsc-IT/MCA
Programming Language: Python
Web Development: Basic understanding of Web Development. Working knowledge of Python Flask is desirable
Database & Platform: AWS/Docker/MySQL/MongoDB
Basic Understanding of Machine Learning Models & AWS Fundamentals is recommended.
- Understand the business drivers and analytical use-cases.
- Translate use cases to data models, descriptive, analytical, predictive, and engineering outcomes.
- Explore new technologies and learn new techniques to solve business problems creatively
- Think big! and drive the strategy for better data quality for the customers.
- Become the voice of business within engineering and of engineering within the business with customers.
- Collaborate with many teams - engineering and business, to build better data products and services
- Deliver the projects along with the team collaboratively and manage updates to customers on time
What we're looking for :
- Hands-on experience in data modeling, data visualization, and pipeline design and development
- Hands-on exposure to Machine learning concepts like supervised learning, unsupervised learning, RNN, DNN.
- Prior experience working with business stakeholders, in an enterprise space is a plus
- Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
- Experience in working independently and driving projects end to end, strong analytical skills.
Senior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
1. Communicate with the clients and understand their business requirements.
2. Build, train, and manage your own team of junior data engineers.
3. Assemble large, complex data sets that meet the client’s business requirements.
4. Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including the cloud.
6. Assist clients with data-related technical issues and support their data infrastructure requirements.
7. Work with data scientists and analytics experts to strive for greater functionality.
Skills required: (experience with at least most of these)
1. Experience with Big Data tools-Hadoop, Spark, Apache Beam, Kafka etc.
2. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
3. Experience in ETL and Data Warehousing.
4. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra etc.
5. Experience with cloud platforms like AWS, GCP and Azure.
6. Experience with workflow management using tools like Apache Airflow.
We are looking for BE/BTech graduates (2018/2019 pass out) who want to build their career as Data Engineer covering technologies like Hadoop, NoSQL, RDBMS, Spark, Kafka, Hive, ETL, MDM & Data Quality. You should be willing to learn, explore, experiment, develop POCs/Solutions using these technologies with guidance and support from highly experienced Industry Leaders. You should be passionate about your work and willing to go extra mile to achieve results.
We are looking for candidates who believe in commitment and in building strong relationships. We need people who are passionate about solving problems through software and are flexible.
Required Experience, Skills and Qualifications
Passionate to learn and explore new technologies
Any RDBMS experience (SQL Server/Oracle/MySQL)
Any ETL tool experience (Informatica/Talend/Kettle/SSIS)
Understanding of Big Data technologies
Good Communication Skills
Excellent Mathematical / Logical / Reasoning Skills