Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur
Notice period: Immediate - 15 days
1. Python Developer with Snowflake
Job Description :
- 5.5+ years of Strong Python Development Experience with Snowflake.
- Strong hands of experience with SQL ability to write complex queries.
- Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
- Development of Data Analysis, Data Processing engines using Python
- Good Experience in Data Transformation using Python.
- Experience in Snowflake data load using Python.
- Experience in creating user-defined functions in Snowflake.
- Snowsql implementation.
- Knowledge of query performance tuning will be added advantage.
- Good understanding of Datawarehouse (DWH) concepts.
- Interpret/analyze business requirements & functional specification
- Good to have DBT, FiveTran, and AWS Knowledge.
About AxionConnect Infosolutions Pvt Ltd
AxionConnect is one of the leading services firms specializing in the area of statistical modeling for Quantative Risk, Acquisitions, Underwriting, Claims, Pricing and other business functions for various industries and associated analytic services. Our cutting edge predictive models combined with effective strategy, design have been consistently delivering huge returns for our customers.
AxionConnect empowers organizations across all verticals to leverage data to improve business performance. Data is available today across the organization in various forms and systems. They are the fundamental building blocks for enabling business decisions, more importantly informed decisions. If appropriately correlated these together can form Powerful tools to provide insights to performance and act as early warning signals. However, this process is complex and requires high level skills, expertise and tools.
We provide expert implementation and support services for real world “Business Decision Infrastructure” across many business domains and industries that include Banking, Financial Service, HealthCare, Insurance, Retail, Telecom and Manufacturing. AxionConnect helps its clients and partners achieve by providing resources and tools with strong abilities to leverage data and using statistically proven techniques to get more out of your data and make business predictable.
We provide expert implementation and support services for real world “Business Decision Infrastructure” across many business domains and industries that include Banking, Financial Service, HealthCare, Insurance, Retail, Telecom and Manufacturing. AxionConnect helps its clients and partners achieve by providing resources and tools with strong abilities to leverage data and using statistically proven techniques to get more out of your data and make business predictable.
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Our client is a Leading Indian consumer electronics start-up and is one of the fastest-growing start-ups. They have also emerged as the fifth largest wearable brand globally. They are super passionate about the impact that they are making in people’s lives and are looking for a fellow self-starter to join our ambitious bunch.
Responsibilities -
• Support analytics roadmap and strategy by ensuring that the landscape is mature, resilient, and flexible to meet the business requirements without deviating from the overall IT vision
• Collaborate with businesses to identify opportunities, and pain areas, incubate analytics product ideas and deliver analytics applications in a digital native manner
• Hold the analytics program together
• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.
• Play a key role in transforming the company into an intelligent enterprise.
• Deliver analytics use cases that directly contributes to our top-line growth
• Be responsible for overall data hygiene, governance, monitoring of data pipelines and
continuously delivering business value through data
Requirements -
• 5 - 7 years experience in a similar role
• Bachelor’s degree in computer science/ analytics
• Master’s degree (business administration/equivalent) with a focus on Analytics, data science
• Good verbal and written communication skills
• Good networking skills
• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.
Design, implement, and improve the analytics platform
Implement and simplify self-service data query and analysis capabilities of the BI platform
Develop and improve the current BI architecture, emphasizing data security, data quality
and timeliness, scalability, and extensibility
Deploy and use various big data technologies and run pilots to design low latency
data architectures at scale
Collaborate with business analysts, data scientists, product managers, software development engineers,
and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,
forecasting, clustering, and machine learning algorithms
Educational
At Ganit we are building an elite team, ergo we are seeking candidates who possess the
following backgrounds:
7+ years relevant experience
Expert level skills writing and optimizing complex SQL
Knowledge of data warehousing concepts
Experience in data mining, profiling, and analysis
Experience with complex data modelling, ETL design, and using large databases
in a business environment
Proficiency with Linux command line and systems administration
Experience with languages like Python/Java/Scala
Experience with Big Data technologies such as Hive/Spark
Proven ability to develop unconventional solutions, sees opportunities to
innovate and leads the way
Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on
projects involving creation of data lake or data warehouse
Excellent verbal and written communication.
Proven interpersonal skills and ability to convey key insights from complex analyses in
summarized business terms. Ability to effectively communicate with multiple teams
Good to have
AWS/GCP/Azure Data Engineer Certification
4 - 8 overall experience.
- 1-2 years’ experience in Azure Data Factory - schedule Jobs in Flows and ADF Pipelines, Performance Tuning, Error logging etc..
- 1+ years of experience with Power BI - designing and developing reports, dashboards, metrics and visualizations in Powe BI.
- (Required) Participate in video conferencing calls - daily stand-up meetings and all day working with team members on cloud migration planning, development, and support.
- Proficiency in relational database concepts & design using star, Azure Datawarehouse, and data vault.
- Requires 2-3 years of experience with SQL scripting (merge, joins, and stored procedures) and best practices.
- Knowledge on deploying and run SSIS packages in Azure.
- Knowledge of Azure Data Bricks.
- Ability to write and execute complex SQL queries and stored procedures.
About LodgIQ
LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.
Title : Data Scientist
Job Description:
- Apply Data Science and Machine Learning to a REAL-LIFE problem - “Predict Guest Arrivals and Determine Best Prices for Hotels”
- Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
- Help scale up the product in a global offering across 100+ global markets
Qualifications:
- Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization. Student projects are acceptable.
- At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
- Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
- Solid grasp over optimization techniques
- Master's or PhD degree in Business Analytics. Data science, Statistics or Mathematics
- Ability to show a track record of solving large, complex problems
About Us:
GreedyGame is looking for a Business Analyst to join its clan. We are looking to get an enthusiastic Business Analyst who likes to play with Data. You'll be building insights from Data, creating analytical dashboard and monitoring KPI values. Also you will coordinate with teams working on different layers of the infrastructure.
Job details:
Seniority Level: Associate
Level Industry: Marketing & Advertising
Employment Type: Full Time
Job Location: Bangalore
Experience: 1-2 years
WHAT ARE WE LOOKING FOR?
- Excellent planning, organizational, and time management skills.
- Exceptional analytical and conceptual thinking skills.
- A previous experience of working closely with Operations and Product Teams.
- Competency in Excel and SQL is a must.
- Experience with a programming language like Python is required.
- Knowledge of Marketing Tools is preferable.
WHAT WILL BE YOUR RESPONSIBILITIES?
- Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and implementing solutions.
- Should be able to generate meaningful insights to help the marketing team and product team in enhancing the user experience for Mobile and Web Apps.
- Leading ongoing reviews of business processes and developing optimization strategies.
- Performing requirements analysis from a user and business point of view
- Combining data from multiple sources like SQL tables, Google Analytics, Inhouse Analytical signals etc and driving relevant insights
- Deciding the success metrics and KPIs for different Products and features and making sure they are achieved.
- Act as quality assurance liaison prior to the release of new data analysis or application.
Skills and Abilities:
- Python
- SQL
- Business Analytics
- BigQuery
WHAT'S IN IT FOR YOU?
- An opportunity to be a part of a fast scaling start-up in the AdTech space that offers unmatched services and products.
- To work with a team of young enthusiasts who are always upbeat and self-driven to achieve bigger milestones in shorter time spans.
- A workspace that is wide open as per the open door policy at the company, located in the most happening center of Bangalore.
- A well-fed stomach makes the mind work better and therefore we provide - free lunch with a wide variety on all days of the week, a stocked-up pantry to satiate your want for munchies, a Foosball table to burst stress and above all a great working environment.
- We believe that we grow as you grow. Once you are a part of our team, your growth also becomes essential to us, and in order to make sure that happens, there are timely formal and informal feedbacks given
Company Profile:
Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.
We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.
Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.
Salary: As per company standards.
Designation: Data Engineering
Location: Pune
Experience with ETL, Data Modeling, and Data Architecture
Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.
Experience with AWS cloud data lake for development of real-time or near real-time use cases
Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing
Build data pipeline frameworks to automate high-volume and real-time data delivery
Create prototypes and proof-of-concepts for iterative development.
Experience with NoSQL databases, such as DynamoDB, MongoDB etc
Create and maintain optimal data pipeline architecture,
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow
Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.
Employment Type
Full-time
About the Role
The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.
The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO. This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.
Job Description
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
- Strong experience at working on databases and good at analytical reasoning
- Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
- Must be involved in reconciliation of data sets and components across verticals depending on the need
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with the management to prioritize business and information needs
- Locate and define new process improvement opportunities
Required Skills:
- Proven working experience as a data analyst or business data analyst
- Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
- https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
- Identifying valuable data sources and automate collection processes
- Undertaking preprocessing of structured and unstructured data
- Analyzing large amounts of information to discover trends and patterns
- Building predictive models and machine-learning algorithms
- Combining models through ensemble modeling
- Presenting information using data visualization techniques
- Proposing solutions and strategies to business challenges
- Collaborating with engineering and product development teams
What you need to have:
- Data Scientist with min 3 years of experience in Analytics or Data Science preferably in Pricing or Polymer Market
- Experience using scripting languages like Python(preferred) or R is a must.
- Experience with SQL, Tableau is good to have
- Strong numerical, problem solving and analytical aptitude
- Being able to make data based decisions
- Ability to present/communicate analytics driven insights.
- Critical and Analytical thinking skills
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
- Hands-on experience in Development
- 4-6 years of Hands on experience with Python scripts
- 2-3 years of Hands on experience in PySpark coding. Worked in spark cluster computing technology.
- 3-4 years of Hands on end to end data pipeline experience working on AWS environments
- 3-4 years of Hands on experience working on AWS services – Glue, Lambda, Step Functions, EC2, RDS, SES, SNS, DMS, CloudWatch etc.
- 2-3 years of Hands on experience working on AWS redshift
- 6+ years of Hands on experience with writing Unix Shell scripts
- Good communication skills