Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives.
We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company.
Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
Responsibilities: Design and develop ETL Framework and Data Pipelines in Python 3. Orchestrate complex data flows from various data sources (like RDBMS, REST API, etc) to the data warehouse and vice versa. Develop app modules (in Django) for enhanced ETL monitoring. Device technical strategies for making data seamlessly available to BI and Data Sciences teams. Collaborate with engineering, marketing, sales, and finance teams across the organization and help Chargebee develop complete data solutions. Serve as a subject-matter expert for available data elements and analytic capabilities. Qualification: Expert programming skills with the ability to write clean and well-designed code. Expertise in Python, with knowledge of at least one Python web framework. Strong SQL Knowledge, and high proficiency in writing advanced SQLs. Hands on experience in modeling relational databases. Experience integrating with third-party platforms is an added advantage. Genuine curiosity, proven problem-solving ability, and a passion for programming and data.
We are looking at a Big Data Engineer with at least 3-5 years of experience as a Big Data Developer/EngineerExperience with Big Data technologies and tools like Hadoop, Hive, MapR, Kafka, Spark, etc.,Experience in Architecting data ingestion, storage, consumption model.Experience with NoSQL Databases like MongoDB, HBase, Cassandra, etc.,Knowledge of various ETL tools & techniques
We are now looking for passionate DATA MIGRATION DEVELOPERS to work in our Hyderabad site Role Description: We are looking for data migration developers to our BSS delivery projects. Your main goal is to analyse migration data, create migration solution and execute the data migration. You will work as part of the migration team in cooperation with our migration architect and BSS delivery project manager. You have a solid background with telecom BSS and experience in data migrations. You will be expected to interpret data analysis produced by Business Analysts and raise issues or questions and work directly with the client on-site to resolve them. You must therefore be capable of understanding the telecom business behind a technical solution. Requirements: – To understand different data migration approaches and capability to adopt requirements to migration tool development and utilization – Capability to analyse the shape & health of source data – Extraction of data from multiple legacy sources – Building transformation code to adhere to data mappings – Loading data to either new or existing target solutions. We appreciate: – Deep knowledge of ETL processes and/or other migration tools – Proven experience in data migrations with high volumes and in business critical systems in telecom business – Experience in telecom business support systems – Ability to apply innovation and improvement to the data migration/support processes and to be able to manage multiple priorities effectively. We can offer you: – Interesting and challenging work in a fast-growing, customer-oriented company – An international and multicultural working environment with experienced and enthusiastic colleagues – Plenty of opportunities to learn, grow and progress in your career At Qvantel we have built a young, dynamic culture where people are motivated to learn and develop themselves, are used to working both independently as well as in teams, have a systematic, hands on working style and a can-do attitude. Our people are used to communicate across other cultures and time zones. A sense of humor can also come in handy. Don’t hesitate to ask for more information from Srinivas Bollipally our Recruitment Specialist reachable at Srinivas.email@example.com
Factspan Overview: Established in 2012, Factspan is a leading pure play analytics company with expertise in converting data into actionable business insights. Our teams of mathematicians, statisticians and data scientists are experienced in various aspects of decision sciences. We complement such horizontal skills with knowledge of our clients industries. As needed, we also supplement our US based teams with resources in cost effective locations such as India. Headquartered in Seattle, we also have offices in Seattle, San Francisco Bay Area and Bangalore. Our clients include Fortune 100 companies in Retail, Financial Services, Insurance and Technology industries. Our Vision is to be the foremost player in the business analytics space. Roles and Responsibilities: • Interacting with client/onsite team to understand client's business problems, defining, executing and delivering the analytical solution to the business problems • Conceptualize the analytical methodology for business problems and propose an end-to-end process flowchart for the project/business problem with possible set of statistical solutions. • Responsible for discussing and finalizing the above methodology with the client, getting their buy-in, and guiding the offshore resources on the selected procedures. • Communicate expectations and establish deadlines in agreement with client and delivery team. • Understand the nature of the data and how it relates to the problem at hand. • Manage operational workflow and ensure seamless delivery for both quick turnaround analysis and long term projects. • Ensure delivery is smooth and error free. • Communicate analysis and recommendations to all levels of the business through written and verbal communications. Follow up with client for any modifications and feedback. • Carry out all aspects of project management including work planning, estimation, scope refinement, quality and delivery • Communicate difficult messages to the client with persuasiveness and sensitivity so that delivery and business is not impacted • Have excellent skills in making developing power-point presentations and sales collateral. • Being part of sales presentations and contributing to RFPs/RFIs thereby being able to win new business from existing and new clients. Qualification & Experience: • Experience into Marketing/Retail/Social Media/Supply Chain/Loyality Analytics • Bachelor’s or Master’s degree in Economics/Statistics/Econometrics/Mathematics/Engineering and Operations Research • Ability to think: Possess strong analytical/logical thinking skills. • Strong structured problem solving skills • Experience with statistical software such as SQL, R, etc • Excellent skills in writing SQL, PLSQL & stored procedures. • Experience working with US clients • Excellent MS skills to present data tables and charts • Proven experience in MS Excel, VBA & Tableau for reporting and visualization of data analysis. Behavioral Attributes: • Analytical/Strategic/Conceptual thinking • Excellent Verbal/Written communication • Excellent Collaboration/Interpersonal/Presentation skills • Strong Project Management skills Reference Company Links: • www.factspan.com • https://www.linkedin.com/company/factspan-inc • https://www.facebook.com/factspan