11+ Geospatial analysis Jobs in India

Brief:

As a BI Developer at GradRight, you’ll be working with Tableau and supporting data sources to build reports for the requirements of various business teams.

Responsibilities:

1. Translate business needs to technical specifications for reports and dashboards
2. Design, build and deploy BI solutions
3. Maintain and support data analytics platforms (e.g. Tableau, Mixpanel, Google Analytics, etc)
4. Evaluate and improve existing BI systems
5. Collaborate with teams to integrate systems
6. Develop and execute database queries, conduct analysis and prepare data to be shared with respective stakeholders
7. Create visualizations and reports for requested projects
8. Develop and update technical documentation around reports

Requirements:

1. At least 3 years of proven experience as a BI Developer
2. Experience at a startup
3. Background in data warehouse design (e.g. dimensional modeling) and data mining
4. In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
5. Working knowledge of Tableau
6. Knowledge of SQL queries and MongoDB
7. Proven abilities to take initiative and be innovative
8. Analytical mind with a problem-solving aptitude

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. 

For this role, we're looking for someone that ideally loves to watch video gaming content on Twitch and YouTube. Specifically, you will help generate training data for all the AI we are building. This will include gathering screenshots, clips and other data from gaming videos on Twitch and YouTube.  You will then be responsible for labeling and annotating them. You will work very closely with our AI engineers.

You will:

• Gather training data as specified by the management and engineering team
• Label and annotate all the training data
• Ensure all data is prepped and ready to feed into the AI models
• Revise the training data as specified by the engineering team
• Test the output of the AI models and update training data needs

You should have the following qualities:

• Willingness to work hard and hit deadlines
• Work well with people
• Be able to work remotely (if not in Bangalore)
• Interested in learning about AI and computer vision
• Willingness to learn rapidly on the job
• Ideally a gamer or someone interested in watching gaming content online

Skills:

Data labeling, annotation, AI, computer vision, gaming

Work Experience:  0 years to 3 years

About Sizzle

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

Job Description

We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Skills

• Bachelors/Masters/Phd in CS or equivalent industry experience
• Demonstrated expertise of building and shipping cloud native applications
• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Job Location: Indore | Full-Time Internship  | Stipend - Performance Based  | 

About the company:

Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand.  KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4

Sounds like a moonshot? It is. We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com

Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Bachelors or Masters (Pursuing or Graduated) in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years.
• Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
• Proven problem solving and debugging skills.
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
• Experience with text analytics, data mining and social media analytics.
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.