Tableau Lead / Sr Developer

Power BI Developer

Senior visualization engineer with 5 years’ experience in Power BI to develop and deliver solutions that enable delivery of information to audiences in support of key business processes. In addition, Hands-on experience on Azure data services like ADF and databricks is a must.

Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business, and technical counterparts.

Candidates should have worked in agile development environments.

Desired Competencies:

• Should have minimum of 3 years project experience using Power BI on Azure stack.
• Should have good understanding and working knowledge of Data Warehouse and Data Modelling.
• Good hands-on experience of Power BI
• Hands-on experience T-SQL/ DAX/ MDX/ SSIS
• Data Warehousing on SQL Server (preferably 2016)
• Experience in Azure Data Services – ADF, DataBricks & PySpark
• Manage own workload with minimum supervision.
• Take responsibility of projects or issues assigned to them
• Be personable, flexible and a team player
• Good written and verbal communications
• Have a strong personality who will be able to operate directly with users

🚀 Exciting Opportunity: Data Engineer Position in Gurugram 🌐

Hello 

We are actively seeking a talented and experienced Data Engineer to join our dynamic team at Reality Motivational Venture in Gurugram (Gurgaon). If you're passionate about data, thrive in a collaborative environment, and possess the skills we're looking for, we want to hear from you!

Position: Data Engineer  

Location: Gurugram (Gurgaon)  

Experience: 5+ years 

Key Skills:

- Python

- Spark, Pyspark

- Data Governance

- Cloud (AWS/Azure/GCP)

Main Responsibilities:

- Define and set up analytics environments for "Big Data" applications in collaboration with domain experts.

- Implement ETL processes for telemetry-based and stationary test data.

- Support in defining data governance, including data lifecycle management.

- Develop large-scale data processing engines and real-time search and analytics based on time series data.

- Ensure technical, methodological, and quality aspects.

- Support CI/CD processes.

- Foster know-how development and transfer, continuous improvement of leading technologies within Data Engineering.

- Collaborate with solution architects on the development of complex on-premise, hybrid, and cloud solution architectures.

Qualification Requirements:

- BSc, MSc, MEng, or PhD in Computer Science, Informatics/Telematics, Mathematics/Statistics, or a comparable engineering degree.

- Proficiency in Python and the PyData stack (Pandas/Numpy).

- Experience in high-level programming languages (C#/C++/Java).

- Familiarity with scalable processing environments like Dask (or Spark).

- Proficient in Linux and scripting languages (Bash Scripts).

- Experience in containerization and orchestration of containerized services (Kubernetes).

- Education in database technologies (SQL/OLAP and Non-SQL).

- Interest in Big Data storage technologies (Elastic, ClickHouse).

- Familiarity with Cloud technologies (Azure, AWS, GCP).

- Fluent English communication skills (speaking and writing).

- Ability to work constructively with a global team.

- Willingness to travel for business trips during development projects.

Preferable:

- Working knowledge of vehicle architectures, communication, and components.

- Experience in additional programming languages (C#/C++/Java, R, Scala, MATLAB).

- Experience in time-series processing.

How to Apply:

Interested candidates, please share your updated CV/resume with me.

Thank you for considering this exciting opportunity.

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in the real-timeSpark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

Organizational development

• Create an Organization structure and define the OKRs for

• departments/roles Design and implement the policy and process

• Identify the skills gaps to develop and retain the talent

• Build the individual career path and emerging leaders

• Design the framework for succession planning

Performance Management

• Leading the performance management system across the company to achieve

• the goals of department and Company

• Design the process for consistent periodic review and feedback

• 360 degree analysis system

• Lead the yearly process of employee compensation benefits

HR Operations

• Oversee the operational activities of employee life cycle

• Handle Employee Grievance

• Strategies to retain the potential candidate

Employee Engagement

• Design and create the employee inclusion programs

• Culture and Diversity building

Reports & Dashboard

• Periodic dashboard department and company wide

• Reports and Data analysis

DATA ANNOTATION SPECIALISTS

Job Summary

Data solutions for Artificial Intelligence, Data Analytics and Software applications.

Responsibilities and Duties

Prepare datasets for machine learning algorithms as given by TagX's clients. The data could be in various formats, including image, text and video.

Required Experience, Skills and Qualifications

·        Basic computer skills

·        English language skills

·        Knowledge of Data Labelling, Data Annotation

Job Types: Full-time, Regular / Permanent (Work from Office)

Salary: 12000/- + incentives

Schedule:

• Night Shift

Experience:

• Data annotation: 1 year (preferred)
• Fresher

• Write well designed, testable, efficient code by using best software development practices
• Create website layout/user interface by using standard HTML/CSS practices
• Integrate data from various back-end services and databases
• Gather and refine specifications and requirements based on technical needs
• Create and maintain software documentation
• Be responsible for maintaining, expanding, and scaling our site
• Stay plugged into emerging technologies/industry trends and apply them into operations and activities
• Cooperate with web designers to match visual design intent

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

The senior product manager will own end-to-end delivery of Synapisca’s AI based radiology products including defining scope, creating wireframes, creating execution plan, product launch, feedback incorporation and iterations. In this role you would not only get to flex your skills but also learn to thrive in a fast-paced start-up environment with a high degree of autonomy. This cross-functional leadership position requires you to work closely with the Engineering, Design, Category Management and Marketing teams to bring new products to life.

Being comfortable in the chaos of a fast-paced environment, dealing with ambiguity, a penchant for innovation, an innate ability to get into details and drive execution excellence is essential to success in this profile.The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

Primary Responsibilities

• Building and executing new initiatives and roadmaps for retention and increasing customer lifetime value.
• Understand the healthcare market, customers and build business cases for new product opportunities.
• Listen to the users on a regular basis and figure out the opportunities to solve their problems.
• Manage product lifecycle from ideation to launch and beyond which would include liaising with multiple stake-holders.
• Work closely with partners and clients from 4 continents to localize the product builds as per their need and ensure adoption of the new features.
• Use data, creativity, and experimentation to constantly improve the product experience
• Plan product reviews with engineering teams and reviews with leadership. 
• Work on product roadmap, backlog, and deliverables. 
• Create and socialize artifacts that clearly communicate requirements including BRDs, user flows, and prototypes.  
• Formulate hypotheses and quickly validate with prototypes, user feedback, and experimentation.  
• Work with customers, support, and engineering teams to handle and resolve any critical customer issues that arise.

Requirements

• 5+ years in software product management with a consistent record of timely and quality delivery of software products
• Experience in one or more of the following is a plus: SaaS, HealthTech, Enterprise products etc.
• High bias for action with demonstrable history of identifying and resolving cross-project interdependencies
• Ability to juggle several initiatives and shift priorities as needed
• Exceptional communication skills (verbal and written communication) with a knack for storytelling
• Data Driven with proficiency on data querying and analysis.
• Experience with tools like SQL, Excel, Tableau, Qlikview etc. is preferred
• Have prior experience in the development team and understand how modern development frameworks function.
• Passionate about translating customer needs to usable design and process flows for growth levers and optimization.
• Have Good understanding of funnels, agile & sprints, and wireframes.
• Have the attitude to be comfortable with ambiguity and have the skill to transform broad ideas into action plans and display Empathy towards users and also your colleagues.
• Understand how the application functions and the technicalities around it.
• Have familiarity with tools like Google data studio, Firebase, Google Analytics, Product Analytics tools, Sketch and Figma.
• Love analytics and very frequent experimentation

Company Profile:

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.

We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.

Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.

Salary: As per company standards.

Designation: Data Engineering

Location: Pune

Experience with ETL, Data Modeling, and Data Architecture

Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.

Experience with AWS cloud data lake for development of real-time or near real-time use cases

Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing

Build data pipeline frameworks to automate high-volume and real-time data delivery

Create prototypes and proof-of-concepts for iterative development.

Experience with NoSQL databases, such as DynamoDB, MongoDB etc

Create and maintain optimal data pipeline architecture,

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 SQL and AWS ‘big data’ technologies.

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.

Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow

Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.

Employment Type

Full-time