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Glance – An InMobi Group Company:
Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!
Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).
What’s the Glance family like?
Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.
What can we promise?
We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.
What you will be doing?
Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners.
You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.
Basic Qualifications:
- Five+ years experience working in a Data Science role
- Extensive experience developing and deploying ML models in real world environments
- Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
- Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
- Experience in advanced math and statistics
- Excellent familiarity with command line linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models and measuring their impact
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Preferred Qualifications
- Experience developing recommendation systems
- Experience developing and deploying deep learning models
- Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
- Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
- Experience with being actively engaged in data science or other research-oriented position
- You would be comfortable collaborating with cross-functional teams.
- Active personal GitHub account.
Job Responsibilities:
1. Develop/debug applications using Python.
2. Improve code quality and code coverage for existing or new program.
3. Deploy and Integrate the Machine Learning models.
4. Test and validate the deployments.
5. ML Ops function.
Technical Skills
1. Graduate in Engineering or Technology with strong academic credentials
2. 4 to 8 years of experience as a Python developer.
3. Excellent understanding of SDLC processes
4. Strong knowledge of Unit testing, code quality improvement
5. Cloud based deployment and integration of applications/micro services.
6. Experience with NoSQL databases, such as MongoDB, Cassandra
7. Strong applied statistics skills
8. Knowledge of creating CI/CD pipelines and touchless deployment.
9. Knowledge about API, Data Engineering techniques.
10. AWS
11. Knowledge of Machine Learning and Large Language Model.
Nice to Have
1. Exposure to financial research domain
2. Experience with JIRA, Confluence
3. Understanding of scrum and Agile methodologies
4. Experience with data visualization tools, such as Grafana, GGplot, etc
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Fix issues with plugins for our Python-based ETL pipelines
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Help with automation of standard workflow
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Deliver Python microservices for provisioning and managing cloud infrastructure
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Responsible for any refactoring of code
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Effectively manage challenges associated with handling large volumes of data working to tight deadlines
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Manage expectations with internal stakeholders and context-switch in a fast-paced environment
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Thrive in an environment that uses AWS and Elasticsearch extensively
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Keep abreast of technology and contribute to the engineering strategy
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Champion best development practices and provide mentorship to others
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First and foremost you are a Python developer, experienced with the Python Data stack
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You love and care about data
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Your code is an artistic manifest reflecting how elegant you are in what you do
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You feel sparks of joy when a new abstraction or pattern arises from your code
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You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
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You are a continuous learner
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You have a natural willingness to automate tasks
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You have critical thinking and an eye for detail
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Excellent ability and experience of working to tight deadlines
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Sharp analytical and problem-solving skills
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Strong sense of ownership and accountability for your work and delivery
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Excellent written and oral communication skills
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Mature collaboration and mentoring abilities
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We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
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Delivering complex software, ideally in a FinTech setting
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Experience with CI/CD tools such as Jenkins, CircleCI
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Experience with code versioning (git / mercurial / subversion)
• Solid technical / data-mining skills and ability to work with large volumes of data; extract
and manipulate large datasets using common tools such as Python and SQL other
programming/scripting languages to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and
strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed
analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance
and focus on high impact work
• Learns continuously; Seeks out knowledge, ideas and feedback.
• Looks for opportunities to build owns skills, knowledge and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG,
HIVE)
• Experience in risk and credit score domains preferred
• Comfortable with ambiguity and frequent context-switching in a fast-paced
environment
- 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
- Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
- Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
- Comfortable working with deep-learning libraries (eg. PyTorch)
- Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
- A Masters candidate in machine learning.
- Can source candidates from Mu Sigma and Manthan.
BRIEF DESCRIPTION:
At-least 1 year of Python, Spark, SQL, data engineering experience
Primary Skillset: PySpark, Scala/Python/Spark, Azure Synapse, S3, RedShift/Snowflake
Relevant Experience: Legacy ETL job Migration to AWS Glue / Python & Spark combination
ROLE SCOPE:
Reverse engineer the existing/legacy ETL jobs
Create the workflow diagrams and review the logic diagrams with Tech Leads
Write equivalent logic in Python & Spark
Unit test the Glue jobs and certify the data loads before passing to system testing
Follow the best practices, enable appropriate audit & control mechanism
Analytically skillful, identify the root causes quickly and efficiently debug issues
Take ownership of the deliverables and support the deployments
REQUIREMENTS:
Create data pipelines for data integration into Cloud stacks eg. Azure Synapse
Code data processing jobs in Azure Synapse Analytics, Python, and Spark
Experience in dealing with structured, semi-structured, and unstructured data in batch and real-time environments.
Should be able to process .json, .parquet and .avro files
PREFERRED BACKGROUND:
Tier1/2 candidates from IIT/NIT/IIITs
However, relevant experience, learning attitude takes precedence
Senior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
2. Assemble large, complex data sets that meet business requirements
3. Identify, design, and implement internal process improvements
4. Optimize data delivery and re-design infrastructure for greater scalability
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
7. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
8. Create data tools for analytics and data scientist team members
Skills Required:
1. Working knowledge of ETL on any cloud (Azure / AWS / GCP)
2. Proficient in Python (Programming / Scripting)
3. Good understanding of any of the data warehousing concepts (Snowflake / AWS Redshift / Azure Synapse Analytics / Google Big Query / Hive)
4. In-depth understanding of principles of database structure
5. Good understanding of any of the ETL technologies (Informatica PowerCenter / AWS Glue / Data Factory / SSIS / Spark / Matillion / Talend / Azure)
6. Proficient in SQL (query solving)
7. Knowledge in Change case Management / Version Control – (VSS / DevOps / TFS / GitHub, Bit bucket, CICD Jenkin)
Mining large volumes of credit behavior data to generate insights around product holdings and monetization opportunities for cross sell
Use data science to size opportunity and product potential for launch of any new product/pilots
Build propensity models using heuristics and campaign performance to maximize efficiency.
Conduct portfolio analysis and establish key metrics for cross sell partnership
Desired profile/Skills:
2-5 years of experience with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
Excellent problem solving and comprehensive analytical skills – ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights.
Solid experience in using python and SQL
Prior work experience in a financial services space would be highly valued
Location: Bangalore/ Ahmedabad
Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:
- Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
- Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
- Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
- Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
- Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.
What You’ll Do
- Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
- Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.
- Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.
What You’ll Need
- 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
- Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
- Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
- Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
- Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
- A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
- Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.