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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Technical must haves:
● Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik
Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
● At least 1 Data Query language – SQL/Python
● Experience in creating breakthrough visualizations
● Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must
● A technical degree like BE/B. Tech a must
Technical Ideal to have:
● Exposure to our tech stack – PHP
● Microsoft workflows knowledge
Behavioural Pen Portrait:
● Must Have: Enthusiastic, aggressive, vigorous, high achievement orientation, strong command
over spoken and written English
● Ideal: Ability to Collaborate
Preferred location is Ahmedabad, however, if we find exemplary talent then we are open to remote working model- can be discussed.
Key Roles/Responsibilities: –
• Develop an understanding of business obstacles, create
• solutions based on advanced analytics and draw implications for
• model development
• Combine, explore and draw insights from data. Often large and
• complex data assets from different parts of the business.
• Design and build explorative, predictive- or prescriptive
• models, utilizing optimization, simulation and machine learning
• techniques
• Prototype and pilot new solutions and be a part of the aim
• of ‘productifying’ those valuable solutions that can have impact at a
• global scale
• Guides and coaches other chapter colleagues to help solve
• data/technical problems at an operational level, and in
• methodologies to help improve development processes
• Identifies and interprets trends and patterns in complex data sets to
• enable the business to take data-driven decisions
- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
Bigdata with cloud:
Experience : 5-10 years
Location : Hyderabad/Chennai
Notice period : 15-20 days Max
1. Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
2. Experience in developing lambda functions with AWS Lambda
3. Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
4. Should be able to code in Python and Scala.
5. Snowflake experience will be a plus
- Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
- Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
- Conceiving, planning and prioritizing data projects and manage timelines
- Building analytical systems and predictive models as a part of the agile ecosystem
- Testing performance of data-driven products participating in sprint-wise feature releases
- Managing a team of data scientists and data engineers to develop, train and test predictive models
- Managing collaboration with internal and external stakeholders
- Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
What you need to have:
- B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
- 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
- Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
- Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
- We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
- Strategic thinker with agility and endurance
- Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
- Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
- Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
- Knowledge and demonstrated skill-sets in AWS
As a Data Engineer, your role will encompass:
- Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture using Scala, Python, Talend etc.
- Gather and address technical and design requirements.
- Refactor existing applications to optimize its performance through setting the appropriate architecture and integrating the best practices and standards.
- Participate in the entire data life-cycle mainly focusing on coding, debugging, and testing.
- Troubleshoot and debug ETL Pipelines.
- Documentation of each process.
Technical Requirements: -
- BSc degree in Computer Science/Computer Engineering. (Masters is a plus.)
- 2+ years of experience as a Data Engineer.
- In-depth understanding of core ETL concepts, Data Modelling, Data Lineage, Data Governance, Data Catalog, etc.
- 2+ years of work experience in Scala, Python, Java.
- Good Knowledge on Big Data Tools such as Spark/HDFS/Hive/Flume, etc.
- Hands on experience on ETL tools like Talend/Informatica is a plus.
- Good knowledge in Kafka and spark streaming is a big plus.
- 2+ years of experience in using Azure cloud and its resources/services (like Azure Data factory, Azure Databricks, SQL Synapse, Azure Devops, Logic Apps, Power Bi, Azure Event Hubs, etc).
- Strong experience in Relational Databases (MySQL, SQL Server)
- Exposure on data visualization tools like Power BI / Qlik sense / MicroStrategy
- 2+ years of experience in developing APIs (REST & SOAP protocols).
- Strong knowledge in Continuous Integration & Continuous Deployment (CI/CD) utilizing Docker containers, Jenkins, etc.
- Strong competencies in algorithms and software architecture.
- Excellent analytical and teamwork skills.
Good to have: -
- Previous on-prem working experience is a plus.
- In-depth understanding of the entire web development process (design, development, and deployment)
- Previous experience in automated testing including unit testing & UI testing.
Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.
Job Description
Experience : 7+ years
Location : Pune / Hyderabad
Skills :
- Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
- Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
- Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
- Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
- Proficient with various development methodologies like waterfall, agile/scrum and iterative
- Good Interpersonal skills and excellent communication skills for US and UK based clients
About Us!
A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.
Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.
We have our own products!
Eagle – Data warehouse Assessment & Migration Planning Product
Raven – Automated Workload Conversion Product
Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.
Why join us!
Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.
Benefits we Provide!
Working with Highly Technical and Passionate, mission-driven people
Subsidized Meals & Snacks
Flexible Schedule
Approachable leadership
Access to various learning tools and programs
Pet Friendly
Certification Reimbursement Policy
Check out more about us on our website below!
www.datametica.com