Similar jobs
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:
- Translate business needs to technical specifications for reports and dashboards
- Design, build and deploy BI solutions
- Maintain and support data analytics platforms (e.g. Tableau, Mixpanel, Google Analytics, etc)
- Evaluate and improve existing BI systems
- Collaborate with teams to integrate systems
- Develop and execute database queries, conduct analysis and prepare data to be shared with respective stakeholders
- Create visualizations and reports for requested projects
- Develop and update technical documentation around reports
Requirements:
- At least 3 years of proven experience as a BI Developer
- Experience at a startup
- Background in data warehouse design (e.g. dimensional modeling) and data mining
- In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
- Working knowledge of Tableau
- Knowledge of SQL queries and MongoDB
- Proven abilities to take initiative and be innovative
- Analytical mind with a problem-solving aptitude
Designation: Perception Engineer (3D)
Experience: 0 years to 8 years
Position Type: Full Time
Position Location: Hyderabad
Compensation: As Per Industry standards
About Monarch:
At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies.
With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, still, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world.
Description:
We are looking for engineers to work on applied research problems related to perception in autonomous driving of electric tractors. The team works on classical and deep learning-based techniques for computer vision. Several problems like SFM, SLAM, 3D Image processing, multiple view geometry etc. Are being solved to deploy on resource constrained hardware.
Technical Skills:
- Background in Linear Algebra, Probability and Statistics, graphical algorithms and optimization problems is necessary.
- Solid theoretical background in 3D computer vision, computational geometry, SLAM and robot perception is desired. Deep learning background is optional.
- Knowledge of some numerical algorithms or libraries among: Bayesian filters, SLAM, Eigen, Boost, g2o, PCL, Open3D, ICP.
- Experience in two view and multi-view geometry.
- Necessary Skills: Python, C++, Boost, Computer Vision, Robotics, OpenCV.
- Academic experience for freshers in Vision for Robotics is preferred.
- Experienced candidates in Robotics with no prior Deep Learning experience willing to apply their knowledge to vision problems are also encouraged to apply.
- Software development experience on low-power embedded platforms is a plus.
Responsibilities:
- Understanding engineering principles and a clear understanding of data structures and algorithms.
- Ability to understand, optimize and debug imaging algorithms.
- Ability to drive a project from conception to completion, research papers to code with disciplined approach to software development on Linux platform.
- Demonstrate outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents.
- Optimize runtime performance of designed models.
- Deploy models to production and monitor performance and debug inaccuracies and exceptions.
- Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives.
- Thrive in a fast-paced environment and can own the project end to end with minimum hand holding.
- Learn & adapt to new technologies & skillsets.
- Work on projects independently with timely delivery & defect free approach.
- Thesis focusing on the above skill set may be given more preference.
What you will get:
At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health benefits commensurate with the role you’ll play in our success.
Job Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns
- Helping develop reports and analysis.
- Present information using data visualization techniques.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Evaluating changes and updates to source production systems.
- Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Propose solutions and strategies to business challenges
Desired Skills and Experience:
- At least 1 year of experience in Data Analysis
- Complete understanding of Operations Research, Data Modelling, ML, and AI concepts.
- Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset
- Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills.
- Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred
What you will do:
- Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria
- Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product
- Back-testing investment appraisal models at regular intervals to improve the same
- Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals
- Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle
- Identifying relevant sub-sector criteria to score and rate investment opportunities internally
Desired Candidate Profile
What you need to have:
- Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory)
- Experience in working in lending/investing fintech (mandatory)
- Strong Excel skills (mandatory)
- Previous experience in credit rating or credit scoring or investment analysis (preferred)
- Prior exposure to working on data-led models on payment gateways or accounting systems (preferred)
- Proficiency in data analysis (preferred)
- Good verbal and written skills
WHAT YOU WILL DO:
-
● Create and maintain optimal data pipeline architecture.
-
● Assemble large, complex data sets that meet functional / non-functional business requirements.
-
● 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 Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
-
● 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.
-
● Work with data and analytics experts to strive for greater functionality in our data systems.
REQUIRED SKILLS & QUALIFICATIONS:
-
● 5+ years of experience in a Data Engineer role.
-
● Advanced working SQL knowledge and experience working with relational databases, query authoring
(SQL) as well as working familiarity with a variety of databases.
-
● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
-
● Experience performing root cause analysis on internal and external data and processes to answer
specific business questions and identify opportunities for improvement.
-
● Strong analytic skills related to working with unstructured datasets.
-
● Build processes supporting data transformation, data structures, metadata, dependency and workload
management.
-
● A successful history of manipulating, processing and extracting value from large disconnected datasets.
-
● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
-
● Strong project management and organizational skills.
-
● Experience supporting and working with cross-functional teams in a dynamic environment
-
● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
-
● Experience with AWS cloud services: EC2, EMR, S3, Athena
-
● Experience with Linux
-
● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.
PREFERRED SKILLS & QUALIFICATIONS:
● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Location: Bengaluru
Department: - Engineering
Bidgely is looking for extraordinary and dynamic Senior Data Analyst to be part of its core team in Bangalore. You must have delivered exceptionally high quality robust products dealing with large data. Be part of a highly energetic and innovative team that believes nothing is impossible with some creativity and hard work.
● Design and implement a high volume data analytics pipeline in Looker for Bidgely flagship product.
● Implement data pipeline in Bidgely Data Lake
● Collaborate with product management and engineering teams to elicit & understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.
● 3-5 years of strong experience in data analytics and in developing data pipelines.
● Very good expertise in Looker
● Strong in data modeling, developing SQL queries and optimizing queries.
● Good knowledge of data warehouse (Amazon Redshift, BigQuery, Snowflake, Hive).
● Good understanding of Big data applications (Hadoop, Spark, Hive, Airflow, S3, Cloudera)
● Attention to details. Strong communication and collaboration skills.
● BS/MS in Computer Science or equivalent from premier institutes.
Responsibilities
- Understanding the business requirements so as to formulate the problems to solve and restrict the slice of data to be explored.
- Collecting data from various sources.
- Performing cleansing, processing, and validation on the data subject to analyze, in order to ensure its quality.
- Exploring and visualizing data.
- Performing statistical analysis and experiments to derive business insights.
- Clearly communicating the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations.
Skills
- Experience solving problems in the project’s business domain.
- Experience with data integration from multiple sources
- Proficiency in at least one query language, especially SQL.
- Working experience with NoSQL databases, such as MongoDB and Elasticsearch.
- Working experience with popular statistical and machine learning techniques, such as clustering, linear regression, KNN, decision trees, etc.
- Good scripting skills using Python, R or any other relevant language
- Proficiency in at least one data visualization tool, such as Matplotlib, Plotly, D3.js, ggplot, etc.
- Great communication skills.
● Ability to do exploratory analysis: Fetch data from systems and analyze trends.
● Developing customer segmentation models to improve the efficiency of marketing and product
campaigns.
● Establishing mechanisms for cross functional teams to consume customer insights to improve
engagement along the customer life cycle.
● Gather requirements for dashboards from business, marketing and operations stakeholders.
● Preparing internal reports for executive leadership and supporting their decision making.
● Analyse data, derive insights and embed it into Business actions.
● Work with cross functional teams.
Skills Required
• Data Analytics Visionary.
• Strong in SQL & Excel and good to have experience in Tableau.
• Experience in the field of Data Analysis, Data Visualization.
• Strong in analysing the Data and creating dashboards.
• Strong in communication, presentation and business intelligence.
• Multi-Dimensional, "Growth Hacker" Skill Set with strong sense of ownership for work.
• Aggressive “Take no prisoners” approach.
SQL, Python, Numpy,Pandas,Knowledge of Hive and Data warehousing concept will be a plus point.
JD
- Strong analytical skills with the ability to collect, organise, analyse and interpret trends or patterns in complex data sets and provide reports & visualisations.
- Work with management to prioritise business KPIs and information needs Locate and define new process improvement opportunities.
- Technical expertise with data models, database design and development, data mining and segmentation techniques
- Proven success in a collaborative, team-oriented environment
- Working experience with geospatial data will be a plus.