11+ Data Transformation Services Jobs in India

Deep-Rooted.Co is on a mission to get Fresh, Clean, Community (Local farmer) produce from harvest to reach your home with a promise of quality first! Our values are rooted in trust, convenience, and dependability, with a bunch of learning & fun thrown in.

Founded out of Bangalore by Arvind, Avinash, Guru and Santosh, with the support of our Investors Accel, Omnivore & Mayfield, we raised $7.5 million in Seed, Series A and Debt funding till date from investors include ACCEL, Omnivore, Mayfield among others. Our brand Deep-Rooted.Co which was launched in August 2020 was the first of its kind as India’s Fruits & Vegetables (F&V) which is present in Bangalore & Hyderabad and on a journey of expansion to newer cities which will be managed seamlessly through Tech platform that has been designed and built to transform the Agri-Tech sector.

Deep-Rooted.Co is committed to building a diverse and inclusive workplace and is an equal-opportunity employer.  

How is this possible? It’s because we work with smart people. We are looking for Engineers in Bangalore to work with thehttps://www.linkedin.com/in/gururajsrao/"> Product Leader (Founder) andhttps://www.linkedin.com/in/sriki77/"> CTO and this is a meaningful project for us and we are sure you will love the project as it touches everyday life and is fun. This will be a virtual consultation.

We want to start the conversation about the project we have for you, but before that, we want to connect with you to know what’s on your mind. Do drop a note sharing your mobile number and letting us know when we can catch up.

Purpose of the role:

* As a startup we have data distributed all across various sources like Excel, Google Sheets, Databases etc. We need swift decision making based a on a lot of data that exists as we grow. You help us bring together all this data and put it in a data model that can be used in business decision making.
* Handle nuances of Excel and Google Sheets API.
* Pull data in and manage it growth, freshness and correctness.
* Transform data in a format that aids easy decision-making for Product, Marketing and Business Heads.
* Understand the business problem, solve the same using the technology and take it to production - no hand offs - full path to production is yours.

Technical expertise:

* Good Knowledge And Experience with Programming languages - Java, SQL,Python.
* Good Knowledge of Data Warehousing, Data Architecture.
* Experience with Data Transformations and ETL; 
* Experience with API tools and more closed systems like Excel, Google Sheets etc.
* Experience AWS Cloud Platform and Lambda
* Experience with distributed data processing tools.
* Experiences with container-based deployments on cloud.

 Skills:

Java, SQL, Python, Data Build Tool, Lambda, HTTP, Rest API, Extract Transform Load.

Requirements:

• 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
• Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
• Demonstrated proficiency with Python, JavaScript and/or Java
• Familiarity with version control/SCM is a must (experience with git is a plus).
• Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
• Strong organisational and troubleshooting skills with attention to detail.
• Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.

Job Description for :

Role: Data/Integration Architect

Experience – 8-10 Years

Notice Period: Under 30 days

Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.

Core Skillsets:

Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.

Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop

Should have worked on Agile

Sound communication skills

Should be open to learning new technologies based on business needs on the job

Additional Skills:

Awareness of other data/integration platforms like Mulesoft, Camel

Awareness Hadoop, Snowflake, S3

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
• Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
• Career Progression: Senior ML Engineer, ML Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Advanced Machine Learning: TensorFlow, Keras
• Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
• Experience with OOPs and design patterns
• Exposure to RDBMS/NoSQL
• Test Driven Development Methodology

Good to Have

• Working in cloud-native environments (preferably Azure)
• Microservices
• Enterprise Design Patterns
• Microservices Architecture
• Distributed Systems

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
  
  

  Requirements

  • Proven working experience as a Data Analyst or Business Data Analyst
  • https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility