Pingahla is recruiting business intelligence Consultants/Senior consultants who can help us with Information Management projects (domestic, onshore and offshore) as developers and team leads. The candidates are expected to have 3-6 years of experience with Informatica Power Center/Talend DI/Informatica Cloud and must be very proficient with Business Intelligence in general. The job is based out of our Pune office.
Responsibilities:
Manage the customer relationship by serving as the single point of contact before, during and after engagements.
Architect data management solutions.
Provide technical leadership to other consultants and/or customer/partner resources.
Design, develop, test and deploy data integration solutions in accordance with customer’s schedule.
Supervise and mentor all intermediate and junior level team members.
Provide regular reports to communicate status both internally and externally.
Qualifications:
A typical profile that would suit this position would be if the following background:
A graduate from a reputed engineering college
An excellent I.Q and analytical skills and should be able to grasp new concepts and learn new technologies.
A willingness to work with a small team in a fast-growing environment.
A good knowledge of Business Intelligence concepts
Mandatory Requirements:
Knowledge of Business Intelligence
Good knowledge of at least one of the following data integration tools - Informatica Powercenter, Talend DI, Informatica Cloud
Knowledge of SQL
Excellent English and communication skills
Intelligent, quick to learn new technologies
Track record of accomplishment and effectiveness with handling customers and managing complex data management needs
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About Pinghala
Founded :
2018
Type
Size :
20-100
Stage :
Profitable
About
Pingahla was founded by a group of people passionate about making the world a better place by harnessing the power of Data. We are a data management firm with offices in New York and India.
Our mission is to help transform the way companies operate and think about their business. We make it easier to adopt and stay ahead of the curve in the ever-changing digital landscape. One of our core beliefs is excellence in everything we do!
4+ year experience in advanced analytics, model building, statistical modeling, • Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as Python and SQL other programming/scripting languages to translate data into business decisions/results • Be data-driven and outcome-focused • Must have good business judgment with demonstrated ability to think creatively and strategically • Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis • Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work • Learns continuously; Seeks out knowledge, ideas and feedback. • Looks for opportunities to build owns skills, knowledge and expertise. • Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE) • Experience in risk and credit score domains preferred • Comfortable with ambiguity and frequent context-switching in a fast-paced environment
Job Title: Data Science Manager Job Location: India Job Summary We at CondeNast are looking for a data science manager for the content intelligence workstream primarily, although there might be some overlap with other workstreams. The position is based out of Chennai and shall report to the head of the data science team, Chennai Responsibilities: 1. Ideate new opportunities within the content intelligence workstream where data Science can be applied to increase user engagement 2. Partner with business and translate business and analytics strategies into multiple short-term and long-term projects 3. Lead data science teams to build quick prototypes to check feasibility and value to business and present to business 4. Formulate the business problem into an machine learning/AI problem 5. Review & validate models & help improve the accuracy of model 6. Socialize & present the model insights in a manner that business can understand 7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business, understand the requirements/specifications, gather data, prepare it, train,validate, test the model, create business presentations to communicate insights, monitor/track the performance of the solution and suggest improvements 8. Work closely with ML engineering teams to deploy models to production 9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive visualizations for the products 10. Setup career paths & learning goals for reportees & mentor them Required Skills: 1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on building recommender systems and 10-12 years of overall experience 2. Experience in leading data science teams to implement recommender systems using content based, collaborative filtering, embedding techniques 3. Experience in building propensity models, churn prediction, NLP - language models, embeddings, recommendation engine etc 4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering, economics or mathematics/ Degree programs in data science/ machine learning/ artificial intelligence 5. Exceptional Communication Skills - verbal and written 6. Moderate level proficiency in SQL, Python 7. Needs to have demonstrated continuous learning through external certifications, degree programs in machine learning & artificial intelligence 8. Knowledge of Machine learning algorithms & understanding of how they work 9. Knowledge of Reinforcement Learning Preferred Qualifications 1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy, matplotlib, pytorch/tensorflow/keras etc 2. Working Knowledge of deep learning models 3. Experience in ETL/ data engineering 4. Prior experience in e-commerce, media & publishing domain is a plus 5. Experience in digital advertising is a plus About Condé Nast CONDÉ NAST INDIA (DATA) Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social platforms - in other words, a staggering amount of user data. Condé Nast made the right move to invest heavily in understanding this data and formed a whole new Data team entirely dedicated to data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel process innovation, further content enrichment, and increase market revenue. The Data team aimed to create a company culture where data was the common language and facilitate an environment where insights shared in real-time could improve performance. The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data Science, and Operations (including Product and Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built capabilities and products to create data-driven solutions for better audience engagement. What we look forward to: We want to welcome bright, new minds into our midst and work together to create diverse forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries. Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.
As a data engineer at Emeritus, you'll be working on a wide variety of data problems. At this fast paced company, you will frequently have to balance achieving an immediate goal with building sustainable and scalable architecture. The ideal candidate gets excited about streaming data, protocol buffers and microservices. They want to develop and maintain a centralized data platform that provides accurate, comprehensive, and timely data to a growing organization
Role & responsibilities:
Developing ETL pipelines for data replication
Analyze, query and manipulate data according to defined business rules and procedures
Manage very large-scale data from a multitude of sources into appropriate sets for research and development for data science and analysts across the company
Convert prototypes into production data engineering solutions through rigorous software engineering practices and modern deployment pipelines
Resolve internal and external data exceptions in timely and accurate manner
Improve multi-environment data flow quality, security, and performance
Skills & qualifications:
Must have experience with:
virtualization, containers, and orchestration (Docker, Kubernetes)
creating log ingestion pipelines (Apache Beam) both batch and streaming processing (Pub/Sub, Kafka)
workflow orchestration tools (Argo, Airflow)
supporting machine learning models in production
Have a desire to continually keep up with advancements in data engineering practices
Strong Python programming and exploratory data analysis skills
Ability to work independently and with team members from different backgrounds
At least a bachelor's degree in an analytical or technical field. This could be applied mathematics, statistics, computer science, operations research, economics, etc. Higher education is welcome and encouraged.
3+ years of work in software/data engineering.
Superior interpersonal, independent judgment, complex problem-solving skills
Global orientation, experience working across countries, regions and time zones
Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Possess strong domain knowledge - Digital Analytics (Google Analytics, App Analytics (Firebase/AppsFlyer/Branch/MixPanel), CRO, Media Analytics
Ability to handle Google Analytics clients end-to-end
Contribute to building effective process management, mentoring teammates, reducing product & execution inefficiencies
Be responsible for day-to-day Google Analytics operations and performance of client accounts, requiring interaction with both internal and external stakeholders.
Own, manage and grow digital analytics strategies for clients.
Be responsible for all regular (and ad hoc) reporting and analysis of digital activity providing crucial insights, and effectively communicating this to the client.
Experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: ● Experience with big data tools: Hive/Hadoop, Spark, Kafka, Hive etc. ● Experience with querying multiple databases SQL/NoSQL, including Oracle, MySQL and MongoDB etc. ● Experience in Redis, RabbitMQ, Elastic Search is desirable. ● Strong Experience with object-oriented/functional/ scripting languages: Python(preferred), Core Java, Java Script, Scala, Shell Scripting etc. ● Must have debugging complex code skills, experience on ML/AI algorithms is a plus. ● Experience in version control tool Git or any is mandatory. ● Experience with AWS cloud services: EC2, EMR, RDS, Redshift, S3 ● Experience with stream-processing systems: Storm, Spark-Streaming, etc
About Company Helical Insight an open source Business Intelligence tool from Helical IT Solutions Pvt. Ltd, based out of Hyderabad, is looking for fresher’s having strong knowledge on SQL. Helical Insight has more than 50+ clients from various sectors. It has been awarded the most promising company in the Business Intelligence space. We are looking for rockstar team mate to join our company. Job Brief We are looking for a Business Intelligence (BI) Developer to create and manage BI and analytics solutions that turn data into knowledge. In this role, you should have a background in data and business analysis. You should be analytical and an excellent communicator. If you also have a business acumen and problemsolving aptitude, we’d like to meet you. Excellent knowledge on SQLQuery is required. Basic knowledge on HTML CSS and JS is required. You would be working closely with customers of various domain to understand their data, understand their business requirement and deliver the required analytics in form of varous reports dashboards etc. Excellent client interfacing role with opportunity to work across various sectors and geographies as well as varioud kind of DB including NoSQL, RDBMS, graph db, Columnar DB etc Skill set and Qualification required Responsibilities Attending client calls to get requriement, show progress Translate business needs to technical specifications Design, build and deploy BI solutions (e.g. reporting tools) Maintain and support data analytics platforms) Conduct unit testing and troubleshooting Evaluate and improve existing BI systems Collaborate with teams to integrate systems Develop and execute database queries and conduct analyses Create visualizations and reports for requested projects Develop and update technical documentation Requirements Excellent expertise on SQLQueries Proven experience as a BI Developer or Data Scientist Background in data warehouse design (e.g. dimensional modeling) and data mining In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework Familiarity with BI technologies Proven abilities to take initiative and be innovative Analytical mind with a problem-solving aptitude BE in Computer Science/IT Education: BE/ BTech/ MCA/BCA/ MTech/ MS, or equivalent preferred. Interested candidates call us on +91 7569 765 162
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Expertise of SQL/PL-SQL -ability to write procedures and create queries for reporting purpose.
Must have worked on a reporting tool – Power BI/Tableau etc.
Strong knowledge of excel/Google Sheets – must have worked with pivot tables, aggregate functions, logical if conditions.
Strong verbal and written communication skills for coordination with departments.
An analytical mind and inclination for problem-solving
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Visual Designer, Neysa Networks
It’s important to me that I am able to contribute in a way that is valuable for me as well as the company. When I came across Cutshort, I was able to find a role in a completely new industry and trustworthy people to work with.
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Software Engineer, Memorres
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Visual Designer, Neysa Networks
It’s important to me that I am able to contribute in a way that is valuable for me as well as the company. When I came across Cutshort, I was able to find a role in a completely new industry and trustworthy people to work with.
Subodh Popalwar
Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Prachi Kodle
Senior Software Engineer (UI), DeepIntent
It was important I find work with a good tech stack at a company with good work culture and good pay. The jobs that Cutshort recommended to me felt like they were made for me!
Palak Talwar
Visual Designer, Neysa Networks
It’s important to me that I am able to contribute in a way that is valuable for me as well as the company. When I came across Cutshort, I was able to find a role in a completely new industry and trustworthy people to work with.
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