DESCRIPTION :- We- re looking for an experienced Data Engineer to be part of our team who has a strong cloud technology experience to help our big data team to take our products to the next level.- This is a hands-on role, you will be required to code and develop the product in addition to your leadership role. You need to have a strong software development background and love to work with cutting edge big data platforms.- You are expected to bring with you extensive hands-on experience with Amazon Web Services (Kinesis streams, EMR, Redshift), Spark and other Big Data processing frameworks and technologies as well as advanced knowledge of RDBS and Data Warehousing solutions.REQUIREMENTS :- Strong background working on large scale Data Warehousing and Data processing solutions.- Strong Python and Spark programming experience.- Strong experience in building big data pipelines.- Very strong SQL skills are an absolute must.- Good knowledge of OO, functional and procedural programming paradigms.- Strong understanding of various design patterns.- Strong understanding of data structures and algorithms.- Strong experience with Linux operating systems.- At least 2+ years of experience working as a software developer or a data-driven environment.- Experience working in an agile environment.Lots of passion, motivation and drive to succeed!Highly desirable :- Understanding of agile principles specifically scrum.- Exposure to Google cloud platform services such as BigQuery, compute engine etc.- Docker, Puppet, Ansible, etc..- Understanding of digital marketing and digital advertising space would be advantageous.BENEFITS :Datalicious is a global data technology company that helps marketers improve customer journeys through the implementation of smart data-driven marketing strategies. Our team of marketing data specialists offer a wide range of skills suitable for any challenge and cover everything from web analytics to data engineering, data science and software development.Experience : Join us at any level and we promise you'll feel up-levelled in no time, thanks to the fast-paced, transparent and aggressive growth of DataliciousExposure : Work with ONLY the best clients in the Australian and SEA markets, every problem you solve would directly impact millions of real people at a large scale across industriesWork Culture : Voted as the Top 10 Tech Companies in Australia. Never a boring day at work, and we walk the talk. The CEO organises nerf-gun bouts in the middle of a hectic day.Money: We'd love to have a long term relationship because long term benefits are exponential. We encourage people to get technical certifications via online courses or digital schools.So if you are looking for the chance to work for an innovative, fast growing business that will give you exposure across a diverse range of the world's best clients, products and industry leading technologies, then Datalicious is the company for you!
Data Engineer: Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, solutions to accelerate business transformation. We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries.We’re seeking passionate people to work with us to change the way data is captured, accessed and processed, to make data driven insightful decisions. Must have skills : Hands-on experience in database systems (Structured and Unstructured). Programming in Python, R, SAS. Overall knowledge and exposure on how to architect solutions in cloud platforms like GCP, AWS, Microsoft Azure. Develop and maintain scalable data pipelines, with a focus on writing clean, fault-tolerant code. Hands-on experience in data model design, developing BigQuery/SQL (any variant) stored. Optimize data structures for efficient querying of those systems. Collaborate with internal and external data sources to ensure integrations are accurate, scalable and maintainable. Collaborate with business intelligence/analytics teams on data mart optimizations, query tuning and database design. Execute proof of concepts to assess strategic opportunities and future data extraction and integration capabilities. Must have at least 2 years of experience in building applications, solutions and products based on analytics. Data extraction, Data cleansing and transformation. Strong knowledge on REST APIs, Http Server, MVC architecture. Knowledge on continuous integration/continuous deployment. Preferred but not required: Machine learning and Deep learning experience Certification on any cloud platform is preferred. Experience of data migration from On-Prem to Cloud environment. Exceptional analytical, quantitative, problem-solving, and critical thinking skills Excellent verbal and written communication skills Work Location: Bangalore
Job Title: DevOps Engineer Work Experience: 3-7 years Qualification: B.E / M. Tech Location: Bangalore, India About Pramata Pramata’s unique, industry-proven offering combines the digitization of critical customer data currently locked in unstructured and obscure sources, then converts that data into high-quality, actionable information accessible through one or multiple applications through the Pramata cloud-based customer digitization platform. Pramata’s customers are some of the largest companies in the world including CenturyLink, Comcast Business, FICO, HPE, Microsoft, NCR, Novelis, and Truven Health IBM. Pramata has helped these companies and more find millions of dollars in revenue, ensure regulatory and pricing compliance, as well as enable risk identification and management across their customer, partner, and even supplier bases. Pramata is headquartered near San Francisco, California and has its Product Engineering and Solutions Delivery Center in Bangalore, India. How Pramata Works Pramata extracts essential intelligence about customer relationships from complex, negotiated contracts, simplifies it from legalese into plain English, synthesizes it with data from CRM, CLM, billing and other systems, and delivers it in the context of a particular user’s role and responsibilities. This is done through Pramata’s unique Digitization-as-a-Service (DaaS) process which transforms unstructured and diverse data into accurate, timely and meaningful digital information stored in the Pramata Digital Intelligence Hub. The Hub keeps the information centralized as one single, shared source of truth along with ensuring that this data remains consistent, accessible and highly secure. The opportunity - What you get to do You will be instrumental in bringing automation to development and testing pipelines, release management, configuration management, environment & application management and day-to-day support of development teams. You will manage the development of capabilities to achieve higher automation, quality and performance in automated build and deployment management, release management, on-demand environment configuration & automation, configuration and change management and in production environment support - Application monitoring, performance management and production support of mission-critical applications including application and system uptime and remote diagnostics - Security - Ensure that the highly sensitive data from our customers is secure at all times. - Instrument applications for performance baselines and to aid rapid diagnostics and resolution in case of system issues. - High availability and disaster recover - Build and maintain systems that are designed to provide 99.9% uptime and ensure that disaster recovery mechanisms are in place. - Automate provisioning and integration tasks as required to deploy new code. - Monitoring - Proactive steps to monitor complex interdependent systems to ensure that issues are being identified and addressed in real-time. Skills required: - Excellent communicator with great interpersonal skills, driving clarity about the intricate systems - Come with hands-on experience in application infrastructure technologies like Linux(RHEL), MySQL, Apache, Nginx, Phusion passenger, Redis etc. - Good understanding of software application builds, configuration management and deployments - Strong scripting skills like Shell, Ruby, Python, Perl etc. Comes with passion for automation - Comfortable with collaboration, open communication and reaching across functional borders. - Advanced problem-solving and task break-down ability. Additional Skills (Good to have but not mandatory): - In depth understanding and experience working with any Cloud Platforms (e.g: AWS, Azure, Google cloud etc) - Experience using configuration management tools like Chef, Puppet, Capistrano, Ansible, etc. - Being able to work under pressure and solve problems using an analytical approach; decisive, fast moving; and a positive attitude. Minimum Qualifications: - Bachelor’s Degree in Computer Science or a related field - Background in technology operations for Linux based applications with 2-4 years of experience in enterprise software - Strong programming skills in Python, Shell or Java - Experience with one or more of the following Configuration Management Tools: Ansible, Chef, Salt, Puppet - Experience with one or more of the following Databases: PostgreSQL, MySQL, Oracle, RDS
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore