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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.
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Company Profile:
The company is World's No1 Global management consulting firm.
Job Qualifications
Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
2-5 years of relevant experience
Adept in forecasting, regression analysis and segmentation work
Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
Excellent time management skills
Good written and verbal communication skills; understanding of both written and spoken English
Strong interpersonal skills
Ability to act autonomously, bringing structure and organization to work
Creative and action-oriented mindset
Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
Ability to work under pressure and deliver on tight deadlines
JD Code: SHI-LDE-01
Version#: 1.0
Date of JD Creation: 27-March-2023
Position Title: Lead Data Engineer
Reporting to: Technical Director
Location: Bangalore Urban, India (on-site)
SmartHub.ai (www.smarthub.ai) is a fast-growing Startup headquartered in Palo Alto, CA, and with offices in Seattle and Bangalore. We operate at the intersection of AI, IoT & Edge Computing. With strategic investments from leaders in infrastructure & data management, SmartHub.ai is redefining the Edge IoT space. Our “Software Defined Edge” products help enterprises rapidly accelerate their Edge Infrastructure Management & Intelligence. We empower enterprises to leverage their Edge environment to increase revenue, efficiency of operations, manage safety and digital risks by using Edge and AI technologies.
SmartHub is an equal opportunity employer and will always be committed to nurture a workplace culture that supports, inspires and respects all individuals, encourages employees to bring their best selves to work, laugh and share. We seek builders who hail from a variety of backgrounds, perspectives and skills to join our team.
Summary
This role requires the candidate to translate business and product requirements to build, maintain, optimize data systems which can be relational or non-relational in nature. The candidate is expected to tune and analyse the data including from a short and long-term trend analysis and reporting, AI/ML uses cases.
We are looking for a talented technical professional with at least 8 years of proven experience in owning, architecting, designing, operating and optimising databases that are used for large scale analytics and reports.
Responsibilities
- Provide technical & architectural leadership for the next generation of product development.
- Innovate, Research & Evaluate new technologies and tools for a quality output.
- Architect, Design and Implement ensuring scalability, performance and security.
- Code and implement new algorithms to solve complex problems.
- Analyze complex data, develop, optimize and transform large data sets both structured and unstructured.
- Ability to deploy and administrator the database and continuously tuning for performance especially container orchestration stacks such as Kubernetes
- Develop analytical models and solutions Mentor Junior members technically in Architecture, Designing and robust Coding.
- Work in an Agile development environment while continuously evaluating and improvising engineering processes
Required
- At least 8 years of experience with significant depth in designing and building scalable distributed database systems for enterprise class products, experience of working in product development companies.
- Should have been feature/component lead for several complex features involving large datasets.
- Strong background in relational and non-relational database like Postgres, MongoDB, Hadoop etl.
- Deep exp database optimization, tuning ertise in SQL, Time Series Databases, Apache Drill, HDFS, Spark are good to have
- Excellent analytical and problem-solving skill sets.
- Experience in for high throughput is highly desirable
- Exposure to database provisioning in Kubernetes/non-Kubernetes environments, configuration and tuning in a highly available mode.
- Demonstrated ability to provide technical leadership and mentoring to the team
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Hiring - Python Developer Freelance Consultant (WFH-Remote)
Greetings from Deltacubes Technology!!
Skillset Required:
Python
Pyspark
AWS
Scala
Experience:
5+ years
Thanks
Bavithra
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Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc.
Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
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Work closely with Product Managers to drive product improvements through data driven decisions.
Conduct analysis to determine new project pilot settings, new features, user behaviour, and in-app behaviour.
Present insights and recommendations to leadership using high quality visualizations and concise messaging.
Own the implementation of data collection and tracking, and co-ordinate with engineering and product team.
Create and maintain dashboards for product and business teams.
Requirements
1+ years’ experience in analytics. Experience as Product analyst will be added advantage.
Technical skills: SQL, Advanced Excel
Good to have: R/Python, Dashboarding experience
Ability to translate structured and unstructured problems into analytical framework
Excellent analytical skills
Good communication & interpersonal skills
Ability to work in a fast-paced start-up environment, learn on the job and get things done.
We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.
In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that
- Has healthcare experience and is passionate about helping heal people,
- Loves working with data,
- Has an obsessive focus on data quality,
- Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
- Has strong data interrogation and analysis skills,
- Defaults to written communication and delivers clean documentation, and,
- Enjoys working with customers and problem solving for them.
A day in the life at Innovaccer:
- Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
- Measure and communicate impact to our customers.
- Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.
What You Need:
- 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
- Intermediate to advanced level SQL programming skills.
- Data Analytics and Visualization (using tools like PowerBI)
- The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
- Ability to work in a fast-paced and agile environment.
- Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.
What we offer:
- Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
- Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
- Health benefits: We cover health insurance for you and your loved ones.
- Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
- Pet-friendly office and open floor plan: No boring cubicles.
- Does analytics to extract insights from raw historical data of the organization.
- Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
- Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
- Tests the short/long term impact of productized MV models on those trends.
- Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory.
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Work shift: Day time
- Strong problem-solving skills with an emphasis on product development.
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge
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