pandas Jobs in Bangalore (Bengaluru)

As part of TIFIN's technology division, you will play a critical role in enabling the company's growth by developing highly scalable applications that provide practical solutions to clients in the financial services- domain. You will design, build, test, and maintain scalable and stable-the-shelf applications or custom-built technology solutions to meet business needs.

Responsibilities:

• Contribute to the entire implementation process including driving the definition of improvements based on business needs and architectural improvements.
• Review code for quality and implementation of best practices.
• Promote coding, testing, and deployment best practices through hands-on research and demonstration.
• Write testable code that enables extremely high levels of code coverage.
• Ability to review frameworks and design principles toward suitability in the project context.
• Candidates who will demonstrate an ability to identify an opportunity lay out a rational plan for pursuing that opportunity, and see it through to completion.

Requirements:

• Engineering graduate with 2-4 years of experience in software product development.
• Proficient in Python, Django, Pandas, GitHub, and AWS.
• Good knowledge of PostgreSQL, and MongoDB.
• Strong Experience in designing REST APIs.
• Experience with working on scalable interactive web applications.
• A clear understanding of software design constructs and their implementation.
• Understanding of the threading limitations of Python and multi-process architecture.
• Familiarity with some ORM (Object Relational Mapper) libraries.
• Good understanding of Test Driven Development.
• Unit and Integration testing.
• Preferred exposure to Finance domain.
• Strong written and oral communication skills.

Data Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What you’ll do?

• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
• Research new and innovative machine learning approaches.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
• Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.  
• Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
• Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

• Ability to write a SQL query to pull the data you need.
• Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
• Experience in Tensorflow and/or R Modelling and/or PyTorch
• Ability to understand a business problem and translate, and structure it into a data science problem. 

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

We are looking for a motivated Software Development Engineer II, who would like to join our Engineering Team and be part of creating dynamic software applications for our clients across the globe. In this role, you will be responsible for writing scalable code, developing back-end components, and integrating user-facing elements with server-side logic in collaboration with front-end developers.

To be successful as an SDE II, you should possess in-depth knowledge of object-relational mapping, experience with server-side logic, and above-average knowledge of Python programming. Ultimately, as a top-class programmer, you should be able to design highly responsive web applications that perfectly meet the needs of the end users.

• Experience in developing full-stack web applications using Django Framework
• Good experience in modeling databases on relational databases such as Postgresql/MySQL
• Familiarity with ORM libraries and In-depth knowledge of writing custom queries
• Proven work experience in building REST APIs using Django Rest Framework
• Familiarity git versional control system
• Familiarity with basic AWS services such as S3, CloudFront, etc
• Good understanding of Javascript and Ajax requests
• Write a high-quality code in compliance with Pylint
• Good understanding of HTML, CSS, and Javascript
• Should have a basic knowledge of AWS services
• Should have good knowledge of Linux-based operating systems
• Good to have exposure to deploying the application to the Cloud
• Good to have knowledge of Multi-tier architecture
• Good to have a working knowledge of NoSQL databases such as MongoDB, DynamoDB, and ElasticSearch
• Good to be familiar with test framework tools like Behave, Pytest, PyUnit, etc.
• Good to have exposure to AWS services such as S3, SQS, SNS, etc.
• Good to have exposure to Celery and Redis

• Build highly scalable, maintainable, and secure web applications using Django Framework
• Modeling data on relational databases such as Postgresql/MySQL
• Leverage ORM libraries to read and write data efficiently to the database.
• Should be able to write custom queries to retrieve data efficiently from the database
• Build, test and deploy REST APIs using Django Rest Framework
• Follow git best practices to manage the codebase in sync with product development
• Should be able to integrate AWS services into the application
• Write a high-quality code in compliance with Pylint
• Should be able to build, test and deploy Multi-tier web applications on the AWS Cloud.
• Responsible for modeling the data on NoSQL databases such as MongoDB, ElasticSearch
• Should be able to implement cache services such as Redis for high-performance applications.
• Should be able to identify production bugs and fix them as required.
• Continuously learn AWS Services and progress toward certification

Basic Qualifications

• Exceptional mentorship.
• Immense learning opportunities on the latest technology and platforms.
• Opportunity to work on highly scalable consumer internet-facing applications.
• Make a visible impact in public-facing applications.
• Sponsorship for your AWS Certifications.
• Health Insurance Coverage.
• Accidental Coverage.
• Pay at par with industry standards and comprehensive rewards.
• Exposure to international brands and clients.

We are looking for a motivated Senior Software Development Engineer, who would like to join our Engineering Team and be part of creating dynamic software applications for our clients across the globe. In this role, you will be responsible for writing scalable code, developing back-end components, and integrating user-facing elements with server-side logic in collaboration with front-end developers.

To be successful as an SSDE, you should possess in-depth knowledge of data structures, algorithms, and object-relational mapping, experience with server-side logic, and above-average knowledge of Python programming. Ultimately, as a top-class programmer, you should be able to design highly responsive web applications that perfectly meet the needs of the end users.

Required Skills

• Experience in developing applications using Django or Flask framework.
• Strong in data structures, algorithms, and design patterns.
• Good experience in modeling databases on relational databases such as Postgresql/MySQL.
• Familiarity with ORM libraries and In-depth knowledge of writing custom queries. 
• Proven work experience in building REST APIs using Flask or Django Rest Framework.
• Familiarity git the versional control system.
• Familiarity with basic AWS services such as S3, SQS, SNS, etc.
• Good understanding of Javascript will be an added advantage.
• Write a high-quality code in compliance with Pylint.
• Basic understanding of HTML, CSS, and Javascript.
• Should have a good knowledge of AWS services. 
• Should have good knowledge of Linux-based operating systems.
• Should exposure to deploying the application to the Cloud.
• Good to have worked in Microservices architecture development.
• Good to have a working knowledge of NoSQL databases such as MongoDB, DynamoDB, and ElasticSearch.
• Good to be familiar with test framework tools like Behave, Pytest, PyUnit, etc.
• Good to have exposure to AWS services such as S3, SQS, SNS, etc.
• Having associate-level AWS Certification would be added advantage.
• Good to be well-versed in TDD, and BDD methodologies.
• Understanding of performance issues.
• Having knowledge of event-driven architecture would be added advantage.

Roles and Responsibilities

• Build highly scalable, maintainable, and secure APIs on Microservices using Cloud Native services.
• Responsible for developing applications using Django or Flask framework.
• Modeling data on relational databases such as Postgresql/MySQL
• Leverage ORM libraries to read and write data efficiently to the database. 
• Should be able to write custom queries to retrieve data efficiently from the database.
• Build, test and deploy REST APIs using Flask or Django Rest Framework.
• Follow git best practices to manage the codebase in sync with product development.
• Should be able to integrate AWS services into the application. 
• Write a high-quality code in compliance with Pylint.
• Should be able to build, test and deploy Microservices on the AWS Cloud.
• Responsible for modeling the data on NoSQL databases such as MongoDB, DynamoDB, and ElasticSearch.
• Should be able to implement cache services such as Redis for high-performance applications.
• Should be able to identify production bugs and fix them as required. 
• Continuously learn AWS Services and progress toward certification.

Basic Qualifications

• B.E/B.Tech in Computer Science or equivalent.
• 3-5 years of software development experience developing high-quality, large-scale consumer applications.
• Problem-solving capability, excellent communication, and documentation skills.

Perks/Benefits

• Exceptional mentorship.
• Immense learning opportunities on the latest technology and platforms.
• Opportunity to work on highly scalable consumer internet-facing applications.
• Make a visible impact in public-facing applications.
• Sponsorship for your AWS Certifications.
• Health Insurance Coverage.
• Accidental Coverage.
• Pay at par with industry standards and comprehensive rewards.
• Exposure to international brands and clients.

Experience : 5-8 years

Location : Bangalore,Chennai and hyderabad

Python Developer (1 Position)

Must have skills: 

·        Experience in advanced Python

·        Experience in GUI/Test Automation tools/libraries (Robot Framework, Selenium, & Sikuli etc.)

·        Ability to create UI Automation scripts to execute in Remote/Citrix servers

·        Knowledge in analytical libraries like Pandas, Numpy, Scipy, PyTorch etc.

·        AWS skillset

Nice to have skills:

·        Experience in SQL and Big Data analytic tools like Hive and Hue

·        Experience in Machine learning

·        Experience in Linux administration

Job Profile: The job profile requires an inter-disciplinary approach to solving technical problems whilst also understanding the business requirements. Knowledge of the power and energy sector and a strong interest in solving national and global energy challenges is a must. This position will involve:

• Developing and maintaining SaaS products for the power and energy sector.
• Working with team members to handle day to day operations and product management tasks.
• Applying Machine Learning techniques to power and energy related data sets. 
• Identification and characterization of complex relationships between multiple weather parameters and renewable energy generation.
• Providing inputs for new product development and improvements to existing products and services.

Requirements:

• Educational Qualification: B.Tech/B.E. Electrical and Electronics Engineering/Software Engineering/Mathematics and Computer Science.
• 1-2 years experience writing code independently in any object oriented programming language. Knowledge of python and its packages is highly preferable (numpy, pandas, keras, OpenCV, sci-kit). 
• Demonstrable experience of project work (academic/internship/job) 
• Ability to work on broad objectives and go from business requirements to code independently. 
• Ability to work independently under minimal supervision and in a team; 
• Preferable to have some understanding of power systems concepts (Power Generation Technologies, Transmission and Distribution, Load Flow, Renewable Energy Generation, etc.)
• Experience working with large data sets and manipulating data to find relationships between variables. 

About Us: 

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. 

We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.

At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.  

We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?

About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)

• Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
• Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
• Implements performance optimizations and best practices for scalable data models, pipelines and modelling
• Resolve blockers and help the team stay productive
• Take part in building the team and iterating on hiring processes

Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)

• 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
• Strong experience in python, SQL and in-depth understanding of modelling techniques
• Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
• Prior experience with credit risk modelling will be preferred
• Deep Knowledge of Python to write scripts to manipulate data and generate automated  reports

How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)

• Expand access to data driven decision making across the organization
• Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy

Nice To Have, but Not Required:

• Experience in dashboarding libraries like Python Dash and exposure to CI/CD 
• Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.

Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. 

What we look for: 

We are looking for an associate who will be doing data crunching from various sources and finding the key points from the data. Also help us to improve/build new pipelines as per the requests. Also, this associate will be helping us to visualize the data if required and find flaws in our existing algorithms. 

Responsibilities: 

• Work with multiple stakeholders to gather the requirements of data or analysis and take action on them. 
• Write new data pipelines and maintain the existing pipelines. 
• Person will be gathering data from various DB’s and will be finding the required metrics out of it. 

Required Skills: 

• Experience with python and Libraries like Pandas,and Numpy. 
• Experience in SQL and understanding of NoSQL DB’s. 
• Hands-on experience in Data engineering. 
• Must have good analytical skills and knowledge of statistics. 
• Understanding of Data Science concepts. 
• Bachelor degree in Computer Science or related field. 
• Problem-solving skills and ability to work under pressure. 

Nice to have: 

• Experience in MongoDB or any NoSql DB. 
• Experience in ElasticSearch. 
• Knowledge of Tableau, Power BI or any other visualization tool.

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

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.

As we begin building repeatability in our core product offering at CustomerGlu - building a high-quality data infrastructure/applications is emerging as a key requirement to further drive more ROI from our interactive engagement programs and to also get ideas for new campaigns.

Hence we are adding more team members to our existing data team and looking for a Data Engineer.

Responsibilities

• Design and build a high-performing data platform that is responsible for the extraction, transformation, and loading of data.
• Develop low-latency real-time data analytics and segmentation applications.
• Setup infrastructure for easily building data products on top of the data platform.
• Be responsible for logging, monitoring, and error recovery of data pipelines.
• Build workflows for automated scheduling of data transformation processes.
• Able to lead a team

Requirements

• 3+ years of experience and ability to manage a team
• Experience working with databases like MongoDB and DynamoDB.
• Knowledge of building batch data processing applications using Apache Spark.
• Understanding of how backend services like HTTP APIs and Queues work.
• Write good quality, maintainable code in one or more programming languages like Python, Scala, and Java.
• Working knowledge of version control systems like Git.

Bonus Skills

• Experience in real-time data processing using Apache Kafka or AWS Kinesis.
• Experience with AWS tools like Lambda and Glue.

Job Title : Analyst / Sr. Analyst – Data Science Developer - Python

Exp : 2 to 5 yrs

Loc : B’lore / Hyd / Chennai

NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.

About us

SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.

The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses. We are a young company that shares a commitment to learning, being smart, working hard and being honest in all we do and striving to do that better each day. We value all our colleagues equally and everyone should feel able to speak up, propose an idea, point out a mistake and feel safe, happy and be themselves at work.

Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business. What you'll do

What you will do?

• Deliver plugins for our python based ETL pipelines.
• Deliver python services for provisioning and managing cloud infrastructure.
• Design, Develop, Unit Test, and Support code in production.
• Deal with challenges associated with large volumes of data.
• Manage expectations with internal stakeholders and context switch between multiple deliverables as priorities change.
• Thrive in an environment that uses AWS and Elasticsearch extensively.
• Keep abreast of technology and contribute to the evolution of the product.
• Champion best practices and provide mentorship.

What we're looking for

• Python 3.
• Python libraries used for data (such as pandas, numpy).
• AWS.
• Elasticsearch.
• Performance tuning.
• Object Oriented Design and Modelling.
• Delivering complex software, ideally in a FinTech setting.
• CI/CD tools.
• Knowledge of design patterns.
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.

What will you get?

• This is an individual contributor role. So, if you are someone who loves to code and solve complex problems and build amazing products and not worry about anything else, this is the role for you.
• You will have the chance to learn from the best in the business who have worked across the world and are technology geeks.
• Company that always appreciates ownership and initiative. If you are someone who is full of ideas, this role is for you.

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 

What you’ll do

• Deliver plugins for our Python-based ETL pipelines.
• Deliver Python microservices for provisioning and managing cloud infrastructure.
• Implement algorithms to analyse large data sets.
• Draft design documents that translate requirements into code.
• Deal with challenges associated with handling large volumes of data.
• Assume responsibilities from technical design through technical client support.
• Manage expectations with internal stakeholders and context-switch in a fast paced environment.
• Thrive in an environment that uses AWS and Elasticsearch extensively.
• Keep abreast of technology and contribute to the engineering strategy.
• Champion best development practices and provide mentorship.

What we’re looking for

• Experience in Python 3.
• Python libraries used for data (such as pandas, numpy).
• AWS.
• Elasticsearch.
• Performance tuning.
• Object Oriented Design and Modelling.
• Delivering complex software, ideally in a FinTech setting.
• CI/CD tools.
• Knowledge of design patterns.
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.

About SteelEye Culture

• Work from home until you are vaccinated against COVID-19
• Top of the line health insurance • Order discounted meals every day from a dedicated portal
• Fair and simple salary structure
• 30+ holidays in a year
• Fresh fruits every day
• Centrally located. 5 mins to the nearest metro station (MG Road)
• Measured on output and not input

• In-depth knowledge in Core Python with Django building end to endapplications development.
• Experience in Web technologies-HTML, CSS, Javascript.

• Database - SQL Server/Postgres/ NoSQL database.
  
  
• Good understanding of Algorithms, data structures.
• Knowledge in ORM (Object Relational Mapper) libraries.
  
  
• Experience in integrating multiple data sources and databases into onesystem.
  
  
• Knowledge in REST / SOAP API
• Knowledge in version control tools like Git
• Experience with various cloud technologies.