- Banking Domain
- Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
- Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
- Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
- Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
- Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
- Keen interest to learn new technologies and latest developments and apply them to projects assigned.
Desired Skills |
- Professional Hands-on coding experience in python for over 1 year for Data scientist, and over 3 years for Sr Data Scientist.
- This is primarily a programming/development-
oriented role - hence strong programming skills in writing object-oriented and modular code in python and experience of pushing projects to production is important. - Strong foundational knowledge and professional experience in
- Machine learning, (Compulsory)
- Deep Learning (Compulsory)
- Strong knowledge of At least One of : Natural Language Processing or Computer Vision or Speech Processing or Business Analytics
- Understanding of Database technologies and SQL. (Compulsory)
- Knowledge of the following Frameworks:
- Scikit-learn (Compulsory)
- Keras/tensorflow/pytorch (At least one of these is Compulsory)
- API development in python for ML models (good to have)
- Excellent communication skills.
- Excellent communication skills are necessary to succeed in this role, as this is a role with high external visibility, and with multiple opportunities to present data science results to a large external audience that will include external VPs, Directors, CXOs etc.
- Hence communication skills will be a key consideration in the selection process.
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At Meru Data, we’re seeking an experienced Azure cloud engineer who has expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate will have a firm grasp of emerging technologies, platforms, and applications and an ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance, experience in managing staff, and advanced industry knowledge are essential to keep us on the cutting edge.
Objectives of this role
- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance
- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies
- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
- Manage cloud environments in accordance with company security guidelines
Responsibilities
- Develop and implement technical efforts to design, build, and deploy Azure applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics
- Participate in all aspects of the software development lifecycle for Azure solutions, including planning, requirements, development, testing, and quality assurance
- Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures
- Educate teams on the implementation of new cloud-based initiatives, providing associated training when necessary
- Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity
Required skills and qualifications
- Three or more years of experience in architecting, designing, developing, and implementing cloud solutions on Azure platforms
Preferred skills and qualifications
- Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics
- Knowledge of web services, API, REST, and RPC
- Azure certification
Responsibilities:
Lead the design and development of sophisticated, high availability, and secured
server-side applications with a primary focus on Golang.
● Collaborate with cross-functional teams to understand requirements, architect
solutions, and deliver high-quality software products.
● Mentor and guide junior engineers, sharing your engineering expertise and best
practices to foster skill development within the team.
● Analyze and optimize performance, scalability, and reliability of existing Golang
applications, making strategic improvements where necessary.
● Design and implement automated unit and integration tests to ensure code quality,
maintainability, and stability.
● Stay up-to-date with the latest advancements in software technologies,
recommending their adoption when appropriate.
● Champion code reviews, architectural discussions, and technical documentation to
maintain high development standards.
● Troubleshoot and resolve complex issues, providing innovative solutions to overcome
challenges.
● Contribute to the recruitment and hiring process by participating in interviews,
evaluating candidates, and providing input on hiring decisions.
Requirements
Bachelor's or Master's degree in Computer Science, or a related field.
● 3+ years of experience in software development, with substantial experience in
Golang and cloud infrastructure.
● Expert-level proficiency in designing and developing high-performance, concurrent
applications with Golang.
● Experience with distributed systems, microservices architecture, and containerization
(e.g., Docker, Kubernetes).
● Solid knowledge of software testing methodologies and tools, including unit testing
and integration testing for Golang applications.
● Demonstrated ability to lead projects, collaborate effectively with teams, and mentor
junior engineers.
● Excellent problem-solving and analytical skills, with the ability to tackle complex
technical challenges.
● Having prior experience in the FinTech domain would be an added advantage.
JD Code: SHI-LDE-01
Version#: 1.0
Date of JD Creation: 27-March-2023
Position Title: Lead Data Engineer
Reporting to: Technical Director
Location: Bangalore Urban, India (on-site)
SmartHub.ai (www.smarthub.ai) is a fast-growing Startup headquartered in Palo Alto, CA, and with offices in Seattle and Bangalore. We operate at the intersection of AI, IoT & Edge Computing. With strategic investments from leaders in infrastructure & data management, SmartHub.ai is redefining the Edge IoT space. Our “Software Defined Edge” products help enterprises rapidly accelerate their Edge Infrastructure Management & Intelligence. We empower enterprises to leverage their Edge environment to increase revenue, efficiency of operations, manage safety and digital risks by using Edge and AI technologies.
SmartHub is an equal opportunity employer and will always be committed to nurture a workplace culture that supports, inspires and respects all individuals, encourages employees to bring their best selves to work, laugh and share. We seek builders who hail from a variety of backgrounds, perspectives and skills to join our team.
Summary
This role requires the candidate to translate business and product requirements to build, maintain, optimize data systems which can be relational or non-relational in nature. The candidate is expected to tune and analyse the data including from a short and long-term trend analysis and reporting, AI/ML uses cases.
We are looking for a talented technical professional with at least 8 years of proven experience in owning, architecting, designing, operating and optimising databases that are used for large scale analytics and reports.
Responsibilities
- Provide technical & architectural leadership for the next generation of product development.
- Innovate, Research & Evaluate new technologies and tools for a quality output.
- Architect, Design and Implement ensuring scalability, performance and security.
- Code and implement new algorithms to solve complex problems.
- Analyze complex data, develop, optimize and transform large data sets both structured and unstructured.
- Ability to deploy and administrator the database and continuously tuning for performance especially container orchestration stacks such as Kubernetes
- Develop analytical models and solutions Mentor Junior members technically in Architecture, Designing and robust Coding.
- Work in an Agile development environment while continuously evaluating and improvising engineering processes
Required
- At least 8 years of experience with significant depth in designing and building scalable distributed database systems for enterprise class products, experience of working in product development companies.
- Should have been feature/component lead for several complex features involving large datasets.
- Strong background in relational and non-relational database like Postgres, MongoDB, Hadoop etl.
- Deep exp database optimization, tuning ertise in SQL, Time Series Databases, Apache Drill, HDFS, Spark are good to have
- Excellent analytical and problem-solving skill sets.
- Experience in for high throughput is highly desirable
- Exposure to database provisioning in Kubernetes/non-Kubernetes environments, configuration and tuning in a highly available mode.
- Demonstrated ability to provide technical leadership and mentoring to the team
- Manage different versions of complicate code and distribute them to different teams in the organization utilizing TFS.
- Develop an ASP.Net application to input and manage a production schedule, production statistical analysis and trend reporting.
- Create routines for importing data utilizing XML, CSV and comma delimitate files.
- Filter and cleanse OLTP data with complex store procedures and SSIS packages in the staging area.
- Develop a dimensional database and OLAP cube using SSAS for analysis, maintenance and good customer service.
- Involve in development and implementation of SSIS, SSRS and SSAS application solutions for various business units across the organization.
- Extract the data from XML and load it to dimensional model.
- Maintain SQL scripts, indexes, complex queries for data analysis and extraction.
- Create advanced reports like dashboard and scoreboard using SharePoint and power pivot for better presentation of data.
- Create cubes in SSAS reports which require complex calculations such as calculation of the premium for a particular policy.
- Create SharePoint sub sites, lists, libraries, folders and apply site permissions according to the given requirement.
- Work with business analysts, subject matter experts, and other team members to determine data extraction and transformation requirements.
- Develop T-SQL functions and store procedures to support complex business requirements.
- Create and configure an OLTP replication database for disaster recovery purpose.
- Designed/Implemented/Maintain OLAP servers and processes to replicate production data to the server.
- Counsel potential Students over a call to inform them about a product and help them in making better career decisions.
- Answer questions about our products or the company.
- Sale as per requirement from the students.
- Direct prospects to the field sales team when needed.
- Maintain Sales Report and update in the CRM time to time.
- Take and process orders in an accurate manner.
- Go the extra mile to meet sales quota and facilitate future sales.
- Keep records of calls and sales and note useful information.
- 6 months - 2 years of work experience in sales/business development/voice process.
- Excellent interpersonal and communication skills.
- Strong negotiation skills with a proven ability to seek, create, negotiate, and close a deal.
- Solution-oriented with effective problem-solving skills.
- Customer-Centric Approach.
- Positive attitude and Willingness to learn and excel.
- Desire to explore new technology and break new ground.
- Are passionate about Open Source technology, continuous learning, and innovation.
- Have the problem-solving skills, grit, and commitment to complete challenging work assignments and meet deadlines.
Qualifications
- Engineer enterprise-class, large-scale deployments, and deliver Cloud-based Serverless solutions to our customers.
- You will work in a fast-paced environment with leading microservice and cloud technologies, and continue to develop your all-around technical skills.
- Participate in code reviews and provide meaningful feedback to other team members.
- Create technical documentation.
- Develop thorough Unit Tests to ensure code quality.
Skills and Experience
- Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
- Experience with event-driven architecture design patterns and practices
- Experience in database design and architecture principles and strong SQL abilities
- Message brokers like Kafka and Kinesis
- Experience with Hadoop, Hive, and Spark (either PySpark or Scala)
- Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
- Good understanding of distributed systems.
- Candidates will be self-motivated and display initiative, ownership, and flexibility.
Preferred Qualifications
- AWS Lambda function development experience with Java and/or Python.
- Lambda triggers such as SNS, SES, or cron.
- Databricks
- Cloud development experience with AWS services, including:
- IAM
- S3
- EC2
- AWS CLI
- API Gateway
- ECR
- CloudWatch
- Glue
- Kinesis
- DynamoDB
- Java 8 or higher
- ETL data pipeline building
- Data Lake Experience
- Python
- Docker
- MongoDB or similar NoSQL DB.
- Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
- Gradle and/or Maven.
- JUnit
- Git
- Scrum
- Experience with Unix and/or macOS.
- Immediate Joiners
Nice to have:
- AWS / GCP / Azure Certification.
- Cloud development experience with Google Cloud or Azure