About Busigence Technologies
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions.
Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world's most pressing problems differently thereby significantly impacting thousands of souls, everyday.
We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products.
In past we have served fifty five customers and presently developing our second product, Robonate . First was emmoQ - an emotion intelligence platform. Third offering, H2HData , an innovation lab where we solve hard problems through data, science, & design.
We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace.
Our mission is to make the world decision intelligent. We envision to have worked on atleast 1% of worlds data by 2020.
Why Explore a Career at Busigence
This section should have been entitled - Why Explore a Challenge at Busigence. What?
Busigence is not for everyone. This is the strongest differentiator. How?
Skills are secondary for us. We believe in intentions, not capabilities. Why?
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If the above three are not understood and/or interest you, we would encourage you refrain applying to us. You won't be actually able to work with us.
80-85% candidates looks for a job in an open position. 85-98% forsee a career in it. Hardly 2% are able to realise it as a challenge, which may satisfy their soul.
We look for these 2%. PERIOD.
If you happen to be fortunately falling in this group then world is too small for you. Reason being there are very few organisations which can really meet your expectations.
We can! Busigence works on real hard problems. Solving customer's problem is our passion.
1. We do where world is moving. Artificial Intelligence. Real AI.
2. We are a real startup culture (this is not bean bags or open office or flexible hours. It is a spirit to create something which doesn't exist).
3. We hire creme de la creme. Coincidentally, it happens to be candidates from topmost tier (IIT & equivalent). People enjoy working with like minded people.
4. You will be empowered everyday and make you feel an entrepreneurial trait in you.
5. This will be Greatest Work of Your Life. Promise!
Busigence Interview Process
We don't hire, we handpick - Believe with us. Laugh with us. Work with us.
For formality,
Step 1 : Apply iff you meet Real Role's & Ideal You's
Step 2 : Round 0: First call followed by Application Form
Step 3 : Round 1: Technology/ Process/ Business Capability Evaluation
Step 4 : Round 2: Day Spent (1 or 2 days) working with us
Enough. We are Done.
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5+ years of software development experience, a startup experience is a plus.
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5+ years of experience working in any backend programming language.
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Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL
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Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)
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Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects
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Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure
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Basic understanding of Kubernetes & docker is a must.
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Experience in data processing (ETL, ELT) and/or cloud-based platforms
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Working proficiency and communication skills in verbal and written English.
CustomerGlu is a low code interactive user engagement platform. We're backed by Techstars and top-notch VCs from the US like Better Capital and SmartStart.
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Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
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Knowledge of deep learning & NLP
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Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
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Experience with GPU computing is a plus.
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
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Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
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Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
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Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Qualifications
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
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Expert-level experience with machine learning that can be applied to business problems
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Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
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Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
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5+ years of industry experience in data science and machine learning, preferably at a software product company
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3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
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3+ years of experience partnering with executive staff on data topics
Data Engineer
Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.
Responsibilities and Duties :
- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.
- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
Education level :
- Bachelor's degree in Computer Science or equivalent
Experience :
- Minimum 5+ years relevant experience working on production grade projects experience in hands on, end to end software development
- Expertise in application, data and infrastructure architecture disciplines
- Expert designing data integrations using ETL and other data integration patterns
- Advanced knowledge of architecture, design and business processes
Proficiency in :
- Modern programming languages like Java, Python, Scala
- Big Data technologies Hadoop, Spark, HIVE, Kafka
- Writing decently optimized SQL queries
- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)
- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.
- Experience generating physical data models and the associated DDL from logical data models.
- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.
- Experience enforcing data modeling standards and procedures.
- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Skills :
Must Know :
- Core big-data concepts
- Spark - PySpark/Scala
- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)
- Handling of various file formats
- Cloud platform - AWS/Azure/GCP
- Orchestration tool - Airflow
