Product Designer

• Design and develop a framework, internal tools, and scripts for testing large-scale data systems, machine learning algorithms, and responsive User Interfaces.
• Create repeatability in testing through automation
• Participate in code reviews, design reviews, architecture discussions.
• Performance testing and benchmarking of Bidgely product suites
• Driving the adoption of these best practices around coding, design, quality, performance in your team.
• Lead the team on all technical aspects and own the quality of your teams’ deliverables
• Understand requirements, design exhaustive test scenarios, execute manual and automated test cases, dig deeper into issues, identify root causes, and articulate defects clearly.
• Strive for excellence in quality by looking beyond obvious scenarios and stated requirements and by keeping end-user needs in mind.
• Debug automation, product, deployment, and production issues and work with stakeholders/team on quick resolution
• Deliver a high-quality robust product in a fast-paced start-up environment.
• Collaborate with the engineering team and product management to elicit & understand their requirements and develop potential solutions.
• Stay current with the latest technology, tools, and methodologies; share knowledge by clearly articulating results and ideas to key decision-makers.

•  BS/MS in Computer Science, Electrical or equivalent
• 6+ years of experience in designing automation frameworks, tools
• Strong object-oriented design skills, knowledge of design patterns, and an uncanny ability to
  design intuitive module and class-level interfaces
• Deep understanding of design patterns, optimizations
• Experience leading multi-engineer projects and mentoring junior engineers
• Good understanding of data structures and algorithms and their space and time complexities. Strong technical aptitude and a good knowledge of CS fundamentals
• Experience in non-functional testing and performance benchmarking
• Knowledge of Test-Driven Development &  implementing CD/CD
• Strong hands-on and practical working experience with at least one programming language: Java/Python/C++
• Strong analytical, problem solving, and debugging skills.
• Strong experience in API automation using Jersey/Rest Assured.
• Fluency in automation tools, frameworks such as Selenium, TestNG, Jmeter, JUnit, Jersey, etc...
• Exposure to distributed systems or web applications
• Good in RDBMS or any of the large data systems such as Hadoop, Cassandra, etc.
• Hands-on experience with build tools like Maven/Gradle &  Jenkins
• Experience in testing on various browsers and devices.
• Strong communication and collaboration skills.

Location - Pune/ Mumbai/ Bangalore

Education

Degree, Postgraduate in Computer Science or related field (or equivalent industry experience)

Experience

• Minimum 5 years of coding experience in NodeJS, JavaScript and Databases.
• At least 1 year hands-on in TypeScript .
• Hands-on experience in performance tuning, debugging, monitoring

Technical Skills

• Excellent knowledge developing scalable and highly-available Restful APIs using NodeJS technologies
• Practical experience with GraphQL.
• Experience in working with AWS platform and its core services like Lambda, Cloud Watch, Cloud Formation, CDK, SQS, S3 etc., or its equivalent Azure services
• Hands-on working experience in front-end applications development with HTML, CSS, Node JS with strong working experience in backend technologies Java, TypeScript and JavaScript programming languages.
• Understanding of containerization, experienced in Dockers , Kubernetes.
• Exposed to API gateway integrations like 3Scale.
• Understanding of Single-Sign-on or token-based authentication (Rest, JWT, oAuth)
• Experience on DevOps ways of working with good understanding on CI/CD and actively involved in solving, troubleshooting issues in distributed services ecosystem
• Hands on experience with both SQL and No-SQL databases.
• More than 3 years proven experience in developing high volume scalable cloud solutions utilizing platforms like Amazon AWS or Microsoft Azure.
• Possess expert knowledge of task/message queues include but not limited to: AWS, Microsoft Azure, Pushpin and Kafka

Functional Skills

• Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Banking, Financial and Fintech experience in an enterprise environment preferred
• Experience in Agile methodology.
• Ensure quality of technical and application architecture and design of systems across the organization.
• Effectively research and benchmark technology against other best in class technologies.

Soft Skills

• Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience.
• Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.
• Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

We are looking for a Full Stack Developer to build scalable software solutions and to be part of our cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

You should have

• Degree in Computer Science or relevant field
• Strong knowledge and understanding of JavaScript and TypeScript
• Knowledge of multiple frontend languages and frameworks including HTML, CSS, SCSS, JavaScript and React.
• Knowledge of backend languages and frameworks primarily Node.js
• Familiarity with SQL databases (e.g. PostgreSQL)
• Knowledge of Docker, Kubernetes would be a plus.
• Leadership skills for guiding and mentoring team mates.
• Understanding of CI/CD Concepts
• Awareness of key concepts in DevOps and Agile principles

Perks

• Flexible working hours - employee tracking is never a thing
• A fun and close-knit agile team.
• Open office layout that promotes collaboration, conversation, and camaraderie – the result-oriented team.
• Recreational activities to keep you away from the screen and live, laugh, enjoy with the team.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.