demanding and ambiguous environment • Strong attention to detail and exceptional organizational skills • Strong analytical & numbers acumen and be comfortable generating and evaluating forecasts, metrics • Strong knowledge of SQL (valid certification), • Data management experience will be a huge plus
Mgmt and Data Quality management solutions and patterns - Primary skills: HADOOP platform exp. at minimum 4 yrs. Map reduce, PIG, Flume, SQOOP, HIVE, Impala, HBase, SPARK, KAFKA, Cassandra, HADOOP Connectors, Linux Education and Experience: - 15+ years of experience - BE
The roles and responsibilities of the Senior Data Analyst include the following: Analyzing and debugging/rectifying the bugs identified Synthesizing the data into information consumable by senior business decision makers Being responsible for developing programs within the timelines assigned
create dashboards and metrics from scratch help the team at large carrying out data modelling knowledge on Business Intelligence applications such as Tableau & QlikSense and their integration with statistical computing applications for advanced analytics. Practical Understanding of Data Warehouse
setting Combination of programming experience (C, C++, UNIX, Java, Linux) Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. Experience working with large data streaming technologies like Spark, Flink, etc. Experience in any of the domains: Infrastructure Services ...
and supporting analytical data solutions. Responsibilities include Work with technical and business partners on technical solutions based on data. Produce concise and clear technical specifications and other related technical documentation Preparing solid analytics design Building model. Support the Data Science
Models and Sensitivity Analysis Ability to setup and maintain database for extremely large datasets using current database technologies (ex. Hadoop) Strong experience in using application programming interfaces (API) Proficient in the big data ecosystem with familiarity with Hadoop, Yarn, Spark, and/or
graphics design (proficient in using tools similar to Adobe Photoshop), 3. This individual must have experience designing/developing dashboards, representing data visually, understanding human factors in data visualization, or equivalent experience. 4. Candidate should be familiar with publishing
documentation, data management and data quality skills Ability to train and guide team members and help them improve the technical abilities Experienced in Excel/database based automation and tools development Experience range- 5-7 years Shift timing- Currently the team is working in 9:00am-6:00pm shift
Expertise with one of the following scripting languages; Python, R, Knime, Mat-lab, Java, Mat-lab/Octave OpenNLP, WordNet, NLTK Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support
Design solutions and lead execution of analytics engagements (including but not limited to Text mining) in various industry verticals by understanding client problems, and identifying most suitable approach. Design and develop new analytics solutions for go-to-market for clients. Provide technical (Analytics) leadership to project teams of various skill sets who are developing analytical solutions to ...
Please find below Job Description : Any Graduates/Under-graduates. Min 40+ WPM. Accuracy 95 %+. Deciphering Score: 75%+ CTC: 13,000 Working Hours: Full time Shift: Rotational Transportation Provided: Yes Interview Process: CX Screening + Typing Test + Deciphering Test + Ops
to work autonomously in a highly demanding and ambiguous environment Strong attention to detail and exceptional organizational skills Strong analytical & numbers acumen and be comfortable generating and evaluating forecasts, metrics Strong knowledge of SQL (valid certification), Data management
Very good hands on experience in Teradata. Good database & data warehouse concepts. Should be able to do logical & physical modeling. Should be able to answer design questions to developers. Good Knowledge in communicating with Business Users and gathering requirements Preferable from Telecom
Excellent Work exp in OLAP, OLTP Extensive exp in cloud - AWS or Google, certification will be a bonus Hands on exp in bigdata migrations & data warehousing Ability to write code in python Understanding of a range of database technologies and NoSQL