About Woodcutter Film Technologies Pvt. Ltd.
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Machine Learning Developer
1. Working on supervised and unsupervised learning algorithms
2. Developing deep learning and machine learning algorithms
3. Working on live projects on data analytics
Job Overview
We are looking for a Data Engineer to join our data team to solve data-driven critical
business problems. The hire will be responsible for expanding and optimizing the existing
end-to-end architecture including the data pipeline architecture. The Data Engineer will
collaborate with software developers, database architects, data analysts, data scientists and platform team on data initiatives and will ensure optimal data delivery architecture is
consistent throughout ongoing projects. The right candidate should have hands on in
developing a hybrid set of data-pipelines depending on the business requirements.
Responsibilities
- Develop, construct, test and maintain existing and new data-driven architectures.
- Align architecture with business requirements and provide solutions which fits best
- to solve the business problems.
- Build the infrastructure required for optimal extraction, transformation, and loading
- of data from a wide variety of data sources using SQL and Azure ‘big data’
- technologies.
- Data acquisition from multiple sources across the organization.
- Use programming language and tools efficiently to collate the data.
- Identify ways to improve data reliability, efficiency and quality
- Use data to discover tasks that can be automated.
- Deliver updates to stakeholders based on analytics.
- Set up practices on data reporting and continuous monitoring
Required Technical Skills
- Graduate in Computer Science or in similar quantitative area
- 1+ years of relevant work experience as a Data Engineer or in a similar role.
- Advanced SQL knowledge, Data-Modelling and experience working with relational
- databases, query authoring (SQL) as well as working familiarity with a variety of
- databases.
- Experience in developing and optimizing ETL pipelines, big data pipelines, and datadriven
- architectures.
- Must have strong big-data core knowledge & experience in programming using Spark - Python/Scala
- Experience with orchestrating tool like Airflow or similar
- Experience with Azure Data Factory is good to have
- Build processes supporting data transformation, data structures, metadata,
- dependency and workload management.
- Experience supporting and working with cross-functional teams in a dynamic
- environment.
- Good understanding of Git workflow, Test-case driven development and using CICD
- is good to have
- Good to have some understanding of Delta tables It would be advantage if the candidate also have below mentioned experience using
- the following software/tools:
- Experience with big data tools: Hadoop, Spark, Hive, etc.
- Experience with relational SQL and NoSQL databases
- Experience with cloud data services
- Experience with object-oriented/object function scripting languages: Python, Scala, etc.
About 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.
Minimum of 4 years’ experience of working on DW/ETL projects and expert hands-on working knowledge of ETL tools.
Experience with Data Management & data warehouse development
Star schemas, Data Vaults, RDBMS, and ODS
Change Data capture
Slowly changing dimensions
Data governance
Data quality
Partitioning and tuning
Data Stewardship
Survivorship
Fuzzy Matching
Concurrency
Vertical and horizontal scaling
ELT, ETL
Spark, Hadoop, MPP, RDBMS
Experience with Dev/OPS architecture, implementation and operation
Hand's on working knowledge of Unix/Linux
Building Complex SQL Queries. Expert SQL and data analysis skills, ability to debug and fix data issue.
Complex ETL program design coding
Experience in Shell Scripting, Batch Scripting.
Good communication (oral & written) and inter-personal skills
Expert SQL and data analysis skill, ability to debug and fix data issue Work closely with business teams to understand their business needs and participate in requirements gathering, while creating artifacts and seek business approval.
Helping business define new requirements, Participating in End user meetings to derive and define the business requirement, propose cost effective solutions for data analytics and familiarize the team with the customer needs, specifications, design targets & techniques to support task performance and delivery.
Propose good design & solutions and adherence to the best Design & Standard practices.
Review & Propose industry best tools & technology for ever changing business rules and data set. Conduct Proof of Concepts (POC) with new tools & technologies to derive convincing benchmarks.
Prepare the plan, design and document the architecture, High-Level Topology Design, Functional Design, and review the same with customer IT managers and provide detailed knowledge to the development team to familiarize them with customer requirements, specifications, design standards and techniques.
Review code developed by other programmers, mentor, guide and monitor their work ensuring adherence to programming and documentation policies.
Work with functional business analysts to ensure that application programs are functioning as defined.
Capture user-feedback/comments on the delivered systems and document it for the client and project manager’s review. Review all deliverables before final delivery to client for quality adherence.
Technologies (Select based on requirement)
Databases - Oracle, Teradata, Postgres, SQL Server, Big Data, Snowflake, or Redshift
Tools – Talend, Informatica, SSIS, Matillion, Glue, or Azure Data Factory
Utilities for bulk loading and extracting
Languages – SQL, PL-SQL, T-SQL, Python, Java, or Scala
J/ODBC, JSON
Data Virtualization Data services development
Service Delivery - REST, Web Services
Data Virtualization Delivery – Denodo
ELT, ETL
Cloud certification Azure
Complex SQL Queries
Data Ingestion, Data Modeling (Domain), Consumption(RDMS)
Data Scientist
at Symansys Technologies India Pvt Ltd
Specialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification
Senior Analytics Consultant- Responsibilities
- Understand business problem and requirements by building domain knowledge and translate to data science problem
- Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
- Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
- Prototype and experiment the solution to successfully demonstrate the value
Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines - Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
- Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives
Data Engineer (Fresher)
Python Developer - Data Science
at A Reputed Analytics Consulting Company in Data Science field
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.
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About the role:
We are looking for an Analyst / Senior Analyst who works in the analytics domain with a strong python background.
Desired Skills, Competencies & Experience:
• • 2-4 years of experience in working in the analytics domain with a strong python background. • • Visualization skills in python with plotly, matplotlib, seaborn etc. Ability to create customized plots using such tools. • • Ability to write effective, scalable and modular code. Should be able to understand, test and debug existing python project modules quickly and contribute to that. • • Should be familiarized with Git workflows.
Good to Have: • • Familiarity with cloud platforms like AWS, AzureML, Databricks, GCP etc. • • Understanding of shell scripting, python package development. • • Experienced with Python data science packages like Pandas, numpy, sklearn etc. • • ML model building and evaluation experience using sklearn.
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Python developer
at Gauge Data Solutions Pvt Ltd
Essential Skills :
- Develop, enhance and maintain Python related projects, data services, platforms and processes.
- Apply and maintain data quality checks to ensure data integrity and completeness.
- Able to integrate multiple data sources and databases.
- Collaborate with cross-functional teams across, Decision Sciences, Search, Database Management. To design innovative solutions, capture requirements and drive a common future vision.
Technical Skills/Capabilities :
- Hands on experience in Python programming language.
- Understanding and proven application of Computer Science fundamentals in object oriented design, data structures, algorithm design, Regular expressions, data storage procedures, problem solving, and complexity analysis.
- Understanding of natural language processing and basic ML algorithms will be a plus.
- Good troubleshooting and debugging skills.
- Strong individual contributor, self-motivated, and a proven team player.
- Eager to learn and develop new experience and skills.
- Good communication and interpersonal skills.
About Company Profile :
Gauge Data Solutions Pvt Ltd :
- We are a leading company into Data Science, Machine learning and Artificial Intelligence.
- Within Gauge data we have a competitive environment for the Developers and Engineers.
- We at Gauge create potential solutions for the real world problems. One such example of our engineering is Casemine.
- Casemine is a legal research platform powered by Artificial Intelligence. It helps lawyers, judges and law researchers in their day to day life.
- Casemine provides exhaustive case results to its users with the use of cutting edge technologies.
- It is developed with the efforts of great engineers at Gauge Data.
- One such opportunity is now open for you. We at Gauge Data invites application for competitive, self motivated Python Developer.
Purpose of the Role :
- This position will play a central role in developing new features and enhancements for the products and services at Gauge Data.
- To know more about what we do and how we do it, feel free to read these articles:
- https://bit.ly/2YfVAsv
- https://bit.ly/2rQArJc
- You can also visit us at https://www.casemine.com/.
- For more information visit us at: - www.gaugeanalytics.com
- Join us on LinkedIn, Twitter & Facebook
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
