· 10+ years of Information Technology experience, preferably with Telecom / wireless service providers. · Experience in designing data solution following Agile practices (SAFe methodology); designing for testability, deployability and releaseability; rapid prototyping, data modeling, and decentralized innovation
· To be able to demonstrate an understanding and ideally use of, at least one recognised architecture framework or standard e.g. TOGAF, Zachman Architecture Framework etc · The ability to apply data, research, and professional judgment and experience to ensure our products are making the biggest difference to consumers · Demonstrated ability to work collaboratively · Excellent written, verbal and social skills - You will be interacting with all types of people (user experience designers, developers, managers, marketers, etc.) · Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision · Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems |
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We are searching for an accountable, multitalented data engineer to facilitate the operations of our data scientists. The data engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.
Responsibilities:
- Liaising with coworkers and clients to elucidate the requirements for each task.
- Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
- Reformulating existing frameworks to optimize their functioning.
- Testing such structures to ensure that they are fit for use.
- Preparing raw data for manipulation by data scientists.
- Detecting and correcting errors in your work.
- Ensuring that your work remains backed up and readily accessible to relevant coworkers.
- Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
Requirements:
- Bachelor's degree in data engineering, big data analytics, computer engineering, or related field.
- Master's degree in a relevant field is advantageous.
- Proven experience as a data engineer, software developer, or similar.
- Expert proficiency in Python, C++, Java, R, and SQL.
- Familiarity with Hadoop or suitable equivalent.
- Excellent analytical and problem-solving skills.
- A knack for independence and group work.
- Scrupulous approach to duties.
- Capacity to successfully manage a pipeline of duties with minimal supervision.
Data Scientist (Risk)/Sr. Data Scientist (Risk)
As a part of the Data science/Analytics team at Rupifi, you will play a significant role in helping define the business/product vision and deliver it from the ground up by working with passionate high-performing individuals in a very fast-paced working environment.
You will work closely with Data Scientists & Analysts, Engineers, Designers, Product Managers, Ops Managers and Business Leaders, and help the team make informed data driven decisions and deliver high business impact.
Preferred Skills & Responsibilities:
- Analyze data to better understand potential risks, concerns and outcomes of decisions.
- Aggregate data from multiple sources to provide a comprehensive assessment.
- Past experience of working with business users to understand and define inputs for risk models.
- Ability to design and implement best in class Risk Models in Banking & Fintech domain.
- Ability to quickly understand changing market trends and incorporate them into model inputs.
- Expertise in statistical analysis and modeling.
- Ability to translate complex model outputs into understandable insights for business users.
- Collaborate with other team members to effectively analyze and present data.
- Conduct research into potential clients and understand the risks of accepting each one.
- Monitor internal and external data points that may affect the risk level of a decision.
Tech skills:
- Hands-on experience in Python & SQL.
- Hands-on experience in any visualization tool preferably Tableau
- Hands-on experience in Machine & Deep Learning area
- Experience in handling complex data sources
- Experience in modeling techniques in the fintech/banking domain
- Experience of working on Big data and distributed computing.
Preferred Qualifications:
- A BTech/BE/MSc degree in Math, Engineering, Statistics, Economics, ML, Operations Research, or similar quantitative field.
- 3 to 10 years of modeling experience in the fintech/banking domain in fields like collections, underwriting, customer management, etc.
- Strong analytical skills with good problem solving ability
- Strong presentation and communication skills
- Experience in working on advanced machine learning techniques
- Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts.
Big Data Lead
Greetings from Rishabh Software!!
An opportunity to enhance your career as big data developer awits at your doorstep.
Here is brief about our company followed by JD:
About Us:
Rishabh Software(CMMi Level 3), an India based IT service provider, focuses on cost-effective, qualitative and timely delivered Offshore Software Development, Business Process Outsourcing (BPO) and Engineering Services. Our Core competency lies in developing customized software solutions using web-based and client/server technology.
With over 20 years of Software Development Experience working together with various domestic and international companies, we, at Rishabh Software, provide specific solutions as per the client requirements that help industries of different domains to change business problems into strategic advantages.
Through our offices in the US (Silicon Valley), UK (London) and India (Vadodara & Bangalore) we service our global clients with qualitative and well-executed software development, BPO and Engineering services.
Please visit our URL www.rishabhsoft.com
Job Description:
We are looking to hire a talented big data engineer to develop and manage our company’s Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, implement ELT processes, collaborate with development teams, build cloud platforms, and maintain the production system.
To ensure success as a big data engineer, you should have in-depth knowledge of Hadoop technologies and excellent problem-solving skills. A top-notch Big Data Engineer understands the needs of the company and institutes scalable data solutions for its current and future needs.
Responsibilities:
- Regular interaction with client and internal team to understand the Big Data needs.
- Developing Hadoop systems.
- Loading disparate data sets and conducting pre-processing services using Hive or Pig.
- Finalizing the scope of the system and delivering Big Data solutions.
- Managing the communications between the internal system and the survey vendor.
- Collaborating with the software research and development teams.
- Building cloud platforms for the development of company applications.
- Maintaining production systems.
- Training staff on data resource management.
Requirements:
- Bachelor’s degree in computer engineering or computer science
- Previous experience as a big data engineer/developer
- In-depth knowledge of Apache Spark, Hadoop, Sqoop, Pig, Hive and Kafka
- In-depth knowledge and understanding of AWS cloud
- Knowledge on one of the languages like Java, C++, Linux, Ruby, PHP, Python, and R
- Knowledge of NoSQL and RDBMS databases including Redis and MongoDB
- Excellent problem management skills
- Training newly joined resource & support them to make their journey successful within the organization
- Good communication skills
- Ability to solve complex networking, data, and software issues
We will be happy to receive your response with latest resume if your profile matches with above JD and we shall connect back to have detailed discussion.
Work closely with different Front Office and Support Function stakeholders including but not restricted to Business
Management, Accounts, Regulatory Reporting, Operations, Risk, Compliance, HR on all data collection and reporting use cases.
Collaborate with Business and Technology teams to understand enterprise data, create an innovative narrative to explain, engage and enlighten regular staff members as well as executive leadership with data-driven storytelling
Solve data consumption and visualization through data as a service distribution model
Articulate findings clearly and concisely for different target use cases, including through presentations, design solutions, visualizations
Perform Adhoc / automated report generation tasks using Power BI, Oracle BI, Informatica
Perform data access/transfer and ETL automation tasks using Python, SQL, OLAP / OLTP, RESTful APIs, and IT tools (CFT, MQ-Series, Control-M, etc.)
Provide support and maintain the availability of BI applications irrespective of the hosting location
Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability, provide incident-related communications promptly
Work with strict deadlines on high priority regulatory reports
Serve as a liaison between business and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood, and considered as part of operational
prioritization and planning
To work for APAC Chief Data Office and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
General Skills:
Excellent knowledge of RDBMS and hands-on experience with complex SQL is a must, some experience in NoSQL and Big Data Technologies like Hive and Spark would be a plus
Experience with industrialized reporting on BI tools like PowerBI, Informatica
Knowledge of data related industry best practices in the highly regulated CIB industry, experience with regulatory report generation for financial institutions
Knowledge of industry-leading data access, data security, Master Data, and Reference Data Management, and establishing data lineage
5+ years experience on Data Visualization / Business Intelligence / ETL developer roles
Ability to multi-task and manage various projects simultaneously
Attention to detail
Ability to present to Senior Management, ExCo; excellent written and verbal communication skills
Senior Data Engineer
at Bookr Inc
In this role you'll get.
- Being part of core team member for data platform, setup platform foundation while adhering all required quality standards and design patterns
- Write efficient and quality code that can scale
- Adopt Bookr quality standards, recommend process standards and best practices
- Research, learn & adapt new technologies to solve problems & improve existing solutions
- Contribute to engineering excellence backlog
- Identify performance issues
- Effective code and design reviews
- Improve reliability of overall production system by proactively identifying patterns of failure
- Leading and mentoring junior engineers by example
- End-to-end ownership of stories (including design, serviceability, performance, failure handling)
- Strive hard to provide the best experience to anyone using our products
- Conceptualise innovative and elegant solutions to solve challenging big data problems
- Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome products
- Adhere to company policies, procedures, mission, values, and standards of ethics and integrity
On day one we'll expect you to.
- B. E/B. Tech from a reputed institution
- Minimum 5 years of software development experience and at least a year experience in leading/guiding people
- Expert coding skills in Python/PySpark or Java/Scala
- Deep understanding in Big Data Ecosystem - Hadoop and Spark
- Must have project experience with Spark
- Ability to independently troubleshoot Spark jobs
- Good understanding of distributed systems
- Fast learner and quickly adapt to new technologies
- Prefer individuals with high ownership and commitment
- Expert hands on experience with RDBMS
- Fast learner and quickly adapt to new technologies
- Prefer individuals with high ownership and commitment
- Ability to work independently as well as working collaboratively in a team
Added bonuses you have.
- Hands on experience with EMR/Glue/Data bricks
- Hand on experience with Airflow
- Hands on experience with AWS Big Data ecosystem
We are looking for passionate Engineers who are always hungry for challenging problems. We believe in creating opportunistic, yet balanced, work environment for savvy, entrepreneurial tech individuals. We are thriving on remote work with team working across multiple timezones.
- Flexible hours & Remote work - We are a results focused bunch, so we encourage you to work whenever and wherever you feel most creative and focused.
- Unlimited PTOWe want you to feel free to recharge your batteries when you need it!
- Stock Options - Opportunity to participate in Company stock plan
- Flat hierarchy - Team leaders at your fingertips
- BFC(Stands for bureaucracy-free company). We're action oriented and don't bother with dragged-out meetings or pointless admin exercises - we'd rather get our hands dirty!
- Working along side Leaders - You being part of core team, will give you opportunity to directly work with founding and management team
• 5+ years’ experience developing and maintaining modern ingestion pipeline using
technologies like Spark, Apache Nifi etc).
• 2+ years’ experience with Healthcare Payors (focusing on Membership, Enrollment, Eligibility,
• Claims, Clinical)
• Hands on experience on AWS Cloud and its Native components like S3, Athena, Redshift &
• Jupyter Notebooks
• Strong in Spark Scala & Python pipelines (ETL & Streaming)
• Strong experience in metadata management tools like AWS Glue
• String experience in coding with languages like Java, Python
• Worked on designing ETL & streaming pipelines in Spark Scala / Python
• Good experience in Requirements gathering, Design & Development
• Working with cross-functional teams to meet strategic goals.
• Experience in high volume data environments
• Critical thinking and excellent verbal and written communication skills
• Strong problem-solving and analytical abilities, should be able to work and delivery
individually
• Good-to-have AWS Developer certified, Scala coding experience, Postman-API and Apache
Airflow or similar schedulers experience
• Nice-to-have experience in healthcare messaging standards like HL7, CCDA, EDI, 834, 835, 837
• Good communication skills
Senior Computer Vision Developer
This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
