11+ MapReduce Jobs in Mumbai | MapReduce Job openings in Mumbai

• Architectural Leadership:
• Design and architect robust, scalable, and high-performance Hadoop solutions.
• Define and implement data architecture strategies, standards, and processes.
• Collaborate with senior leadership to align data strategies with business goals.
• Technical Expertise:
• Develop and maintain complex data processing systems using Hadoop and its ecosystem (HDFS, YARN, MapReduce, Hive, HBase, Pig, etc.).
• Ensure optimal performance and scalability of Hadoop clusters.
• Oversee the integration of Hadoop solutions with existing data systems and third-party applications.
• Strategic Planning:
• Develop long-term plans for data architecture, considering emerging technologies and future trends.
• Evaluate and recommend new technologies and tools to enhance the Hadoop ecosystem.
• Lead the adoption of big data best practices and methodologies.
• Team Leadership and Collaboration:
• Mentor and guide data engineers and developers, fostering a culture of continuous improvement.
• Work closely with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality solutions.
• Ensure effective communication and collaboration across all teams involved in data projects.
• Project Management:
• Lead large-scale data projects from inception to completion, ensuring timely delivery and high quality.
• Manage project resources, budgets, and timelines effectively.
• Monitor project progress and address any issues or risks promptly.
• Data Governance and Security:
• Implement robust data governance policies and procedures to ensure data quality and compliance.
• Ensure data security and privacy by implementing appropriate measures and controls.
• Conduct regular audits and reviews of data systems to ensure compliance with industry standards and regulations.

• Engage with client business team managers and leaders independently to understand their requirements, help them structure their needs into data needs, prepare functional and technical specifications for execution and ensure delivery from the data team. This can be combination of ETL Processes, Reporting Tools, Analytics tools like SAS, R and alike.
• Lead and manage the Business Analytics team, ensuring effective execution of projects and initiatives.
• Develop and implement analytics strategies to support business objectives and drive data-driven decision-making.
• Analyze complex data sets to provide actionable insights that improve business performance.
• Collaborate with other departments to identify opportunities for process improvements and implement data-driven solutions.
• Oversee the development, maintenance, and enhancement of dashboards, reports, and analytical tools.
• Stay updated with the latest industry trends and technologies in analytics and data
• science.

Description of Role

• We are looking for an enthusiastic analytically minded data driven BI Consultant/Developer role in Mumbai based Data & Analytics team
• The Business Intelligence consultant/developer is a member of the analytics team whose focus is to provide hands-on consulting and
• · Understand and document the reporting business requirements, processes and workflows developing both written and visual depictions of requirements and process flows.
• · Work closely with BI product manager & lead dashboard design and information presentation ideation meetings with business stakeholders. 
• Works extensively in Tableau Desktop, MS Power BI designing and building highly customized dashboards to provide stunning visual anal build assets like datasets, reports and dashboards using tools like Tableau, Powerbi & dataiku for internal customers within investment (Performance, Marketing, Sales etc.)

Key responsibilities

• · Builds Tableau/Power BI Data Models utilizing best practices, ensures data accuracy and ability to blend with other certified data sources.
• · Understand Analytics & Business Intelligence framework and partner with Analytics Technology & Enterprise reporting Technology team to build & deploy reports and dashboards.
• · Evaluate data sources and technology options, recommend appropriate solutions.
• · Build and maintain a reporting data dictionary and data lineage.
• · Perform data analysis, data mapping, and develop ad hoc queries.
• · Write SQL queries, stored procedures, and scripts, ETL jobs.
• · Perform QA testing of developed deliverables and assist with User Acceptance Testing
• · Manage the prioritization, logging and tracking of user related issues, defects, enhancements, and work requests.

Experience and Skills

• · Analytic and data driven mindset with a finesse to build dashboards that tell a story.
• · Strong communication skills, interacting effectively with quantitative colleagues as well as less technical audiences.       
• · Minimum of 5 years of proven experience creating Dashboards, Reports and Visualizations with interactive capabilities.
• · Minimum of 5 years’ experience in business/data analysis and data preparation
• · Minimum 2 years of experience in working with big data & building data apps using Python.
• · Broad industry knowledge of investment management a plus
• · Excellent verbal and writing skills in English.
• · Excellent time management and ability to work under pressure to meet tight deadlines.
• · Maintain a strong commitment to quality. 

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

Send us your code samples / GitHub profile / published articles if applicable.

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Role : 

• Understand and translate statistics and analytics to address business problems
• Responsible for helping in data preparation and data pull, which is the first step in machine learning
• Should be able to do cut and slice data to extract interesting insights from the data
• Model development for better customer engagement and retention
• Hands on experience in relevant tools like SQL(expert), Excel, R/Python
• Working on strategy development to increase business revenue

Requirements:

• Hands on experience in relevant tools like SQL(expert), Excel, R/Python
• Statistics: Strong knowledge of statistics
• Should able to do data scraping & Data mining
• Be self-driven, and show ability to deliver on ambiguous projects
• An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment
• Should have worked on Business Projects for an organization, Ex: customer acquisition, Customer retention.