Data Science
Python
Amazon Web Services (AWS)- Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
- Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
- Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
- Design, develop and maintain the framework for the analytics solutions pipeline
- Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
- Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
- Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives
Subodh Popalwar
Software Engineer, Memorres
About Network Science
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PythonGood experience in the Extraction, Transformation, and Loading (ETL) of data from various sources into Data Warehouses and Data Marts using Informatica Power Center (Repository Manager,
Designer, Workflow Manager, Workflow Monitor, Metadata Manager), Power Connect as ETL tool on Oracle, and SQL Server Databases.
Knowledge of Data Warehouse/Data mart, ODS, OLTP, and OLAP implementations teamed with
project scope, Analysis, requirements gathering, data modeling, ETL Design, development,
System testing, Implementation, and production support.
Strong experience in Dimensional Modeling using Star and Snow Flake Schema, Identifying Facts
and Dimensions
Used various transformations like Filter, Expression, Sequence Generator, Update Strategy,
Joiner, Stored Procedure, and Union to develop robust mappings in the Informatica Designer.
Developed mapping parameters and variables to support SQL override.
Created applets to use them in different mappings.
Created sessions, configured workflows to extract data from various sources, transformed data,
and loading into the data warehouse.
Used Type 1 SCD and Type 2 SCD mappings to update slowly Changing Dimension Tables.
Modified existing mappings for enhancements of new business requirements.
Involved in Performance tuning at source, target, mappings, sessions, and system levels.
Prepared migration document to move the mappings from development to testing and then to
production repositories
Extensive experience in developing Stored Procedures, Functions, Views and Triggers, Complex
SQL queries using PL/SQL.
Experience in resolving on-going maintenance issues and bug fixes; monitoring Informatica
/Talend sessions as well as performance tuning of mappings and sessions.
Experience in all phases of Data warehouse development from requirements gathering for the
data warehouse to develop the code, Unit Testing, and Documenting.
Extensive experience in writing UNIX shell scripts and automation of the ETL processes using
UNIX shell scripting.
Experience in using Automation Scheduling tools like Control-M.
Hands-on experience across all stages of Software Development Life Cycle (SDLC) including
business requirement analysis, data mapping, build, unit testing, systems integration, and user
acceptance testing.
Build, operate, monitor, and troubleshoot Hadoop infrastructure.
Develop tools and libraries, and maintain processes for other engineers to access data and write
MapReduce programs.
Machine Learning (ML)Data ScienceData Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Job Title: Data Analyst with Python
Experience: 4+ years
Location: Mumbai
Working Mode: Onsite
Primary Skills: Python, Data Analysis of RDs, FDs, Saving Accounts, Banking domain, Risk Consultant, Car Loan Model, Cross-sell model
Qualification: Any graduation
Job Description
1. With 4 to 5 years of banking analytics experience
2. Data Analyst profile with good domain understanding
3. Good with Python and worked on Liabilities (Mandatory)
4. For Liabilities Should have worked on (Saving A/c, FD,RD) (Mandatory)
5. Good with stakeholder management and requirement gathering
6. Only from banking industry
PythonRequirements:
- 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
- Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
- Demonstrated proficiency with Python, JavaScript and/or Java
- Familiarity with version control/SCM is a must (experience with git is a plus).
- Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
- Strong organisational and troubleshooting skills with attention to detail.
- Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.
Required Skill Set-
Project experience in any of the following - Data Management,
Database Development, Data Migration or Data Warehousing.
• Expertise in SQL, PL/SQL.
Role and Responsibilities -
• Work on a complex data management program for multi-billion dollar
customer
• Work on customer projects related to data migration, data
integration
•No Troubleshooting
• Execution of data pipelines, perform QA, project documentation for
project deliverables
• Perform data profiling, data cleansing, data analysis for migration
data
• Participate and contribute in project meeting
• Experience in data manipulation using Python preferred
• Proficient in using Excel, PowerPoint
-Perform other tasks as per project requirements.
| Experience Range |
2 Years - 10 Years |
| Function | Information Technology |
| Desired Skills |
Must Have Skills:
• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good experience in SQL DBs - Be able to write queries including fair complexity.
• Should have excellent experience in Big Data programming for data transformation and aggregations
• Good at ELT architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
• Good customer communication.
• Good Analytical skills
|
| Education Type | Engineering |
| Degree / Diploma | Bachelor of Engineering, Bachelor of Computer Applications, Any Engineering |
| Specialization / Subject | Any Specialisation |
| Job Type | Full Time |
| Job ID | 000018 |
| Department | Software Development |
Company Name: Intraedge Technologies Ltd (https://intraedge.com/" target="_blank">https://intraedge.com/)
Type: Permanent, Full time
Location: Any
A Bachelor’s degree in computer science, computer engineering, other technical discipline, or equivalent work experience
- 4+ years of software development experience
- 4+ years exp in programming languages- Python, spark, Scala, Hadoop, hive
- Demonstrated experience with Agile or other rapid application development methods
- Demonstrated experience with object-oriented design and coding.
Please mail you rresume to poornimakattherateintraedgedotcomalong with NP, how soon can you join, ECTC, Availability for interview, Location
PythonData ScienceAbout the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for a Data Lead - someone who works at the intersection of data science, GIS, and engineering. We want a leader who not only understands environmental data but someone who can quickly assemble large scale datasets that are crucial to the well being of our planet. Come save the planet with us!
Your Role
Manage: As a leadership position, this requires long term strategic thinking. You will be in charge of daily operations of the data team. This would include running team standups, planning the execution of data generation and ensuring the algorithms are put in production. You will also be the person in charge to dumb down the data science for the rest of us who do not know what it means.
Love and Live Data: You will also be taking all the responsibility of ensuring that the data we generate is accurate, clean, and is ready to use for our clients. This would entail that you understand what the market needs, calculate feasibilities and build data pipelines. You should understand the algorithms that we use or need to use and take decisions on what would serve the needs of our clients well. We also want our Data Lead to be constantly probing for newer and optimized ways of generating datasets. It would help if they were abreast of all the latest developments in the data science and environmental worlds. The Data Lead also has to be able to work with our Platform team on integrating the data on our platform and API portal.
Collaboration: We use Clubhouse to track and manage our projects across our organization - this will require you to collaborate with the team and follow up with members on a regular basis. About 50% of the work, needs to be the pulse of the platform team. You'll collaborate closely with peers from other functions—Design, Product, Marketing, Sales, and Support to name a few—on our overall product roadmap, on product launches, and on ongoing operations. You will find yourself working with the product management team to define and execute the feature roadmap. You will be expected to work closely with the CTO, reporting on daily operations and development. We don't believe in a top-down hierarchical approach and are transparent with everyone. This means honest and mutual feedback and ability to adapt.
Teaching: Not exactly in the traditional sense. You'll recruit, coach, and develop engineers while ensuring that they are regularly receiving feedback and making rapid progress on personal and professional goals.
Humble and cool: Look we will be upfront with you about one thing - our team is fairly young and is always buzzing with work. In this fast-paced setting, we are looking for someone who can stay cool, is humble, and is willing to learn. You are adaptable, can skill up fast, and are fearless at trying new methods. After all, you're in the business of saving the planet!
Requirements
- A minimum of 5 years of industry experience.
- Hyper-curious!
- Exceptional at Remote Sensing Data, GIS, Data Science.
- Must have big data & data analytics experience
- Very good in documentation & speccing datasets
- Experience with AWS Cloud, Linux, Infra as Code & Docker (containers) is a must
- Coordinate with cross-functional teams (DevOPS, QA, Design etc.) on planning and execution
- Lead, mentor and manage deliverables of a team of talented and highly motivated team of developers
- Must have experience in building, managing, growing & hiring data teams. Has built large-scale datasets from scratch
- Managing work on team's Clubhouse & follows up with the team. ~ 50% of work, needs to be the pulse of the platform team
- Exceptional communication skills & ability to abstract away problems & build systems. Should be able to explain to the management anything & everything
- Quality control - you'll be responsible for maintaining a high quality bar for everything your team ships. This includes documentation and data quality
- Experience of having led smaller teams, would be a plus.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
Python
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Software Engineer, Memorres