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  • and Logical Data Design. Strong Data Modeling skills to include data quality, source systems analysis (SQLServer, Oracle etc), business rules validation, source to target mapping design, prepare sample data example and data validation with ETL team (SCD types tables and Fact tables) Good to have experience

  • Minimum Eight years of experience in data warehousing, data modeling and data integration for enterprise data environments. Experience in design of large scale ETL solutions integrating multiple / heterogeneous systems Experience in data analysis, modeling ( logical and physical data models ...

  • approach needed to solve a business problem Design & Develop 12. Data Marts, De-normalized views & Data Models for projects 13. Data Quality control processes around the data sets used for analysis Capability Development 14. Work with Senior team members to develop new capabilities for the team

  • Extensive programming exp. in Python. Familiar with various machine learning techniques and libraries. Strong programming exp. in Spark framework and PySpark. Hands-on exp. with TensorFlowScikit-learn, Spark MLlib, MXNet, Caffe,H2O other ML Libraris

  • Responsible for the overall data modelling strategy, which conforms to our enterprise architecture vision. You will be the lead data modeller to help us transform our legacy system to a decoupled micro service system. You will set up the modelling frameworks in conjunction with the data architect ...

  • 3 or more years of experience in OBIEE, Predictive Analytics, Data Visualization Exposure to CRM Business area Experienced in Machine Learning, Python/R Scripts OBIEE Oracle PL/SQL Programming Design, Development of BI Applications Communication & Analytical Skills

  • Responsibilities Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rule-based models, deep learning Create language models from petabytes of text data in different languages Suggest, collect and synthesize requirements and innovate to create next

  • Bachelors degree in Computer Science/Electrical Engineering/Information Systems or equivalent Minimum 3+ years of relevant work experience as ETL developer in a Data Warehouse environment using Informatica Cloud. Technically fluent with relational databases & Cloud systems Data Integration

  • with relational databases such as MS SQL Server, No SQL databases. Like Mongo, Cassandra * Apply structures like Parquet, Avro, or any column family schemas on the data to speed up analytics * Understanding of agile development methods and leading software development teams in an Agile/Lean environment ...

  • using AWS software stack Work with global team Hands-on experience with AWS tools (S3, EMR, Redshift, EC2) Have a strong track-record of building, launching, and interacting with data pipelines at scale in both a streaming and batch fashion Proficient in Python, SQL, and other scripting languages Agile

  • Experience with SQL Server 2008 & above, including use of Query Analyzer, Stored Procedures, DTS Jobs and Profiler. SSRS Reporting tool. Experience creating and maintaining an extraction, transformation, and loading process from source systems or files into a data warehouse. Install and configure

  • Cloud Integration - Data Analyst A minimum of 3 years of experience in Python Programming as a developer Google Big Query / Amazon RedShift / Google Cloud SQL / Amazon Aurora RDBMS (SQL Serve ,Oracle, MySQL ...

  • and other BI technologies Promotes and practices risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to required standards and processes End to End Tableau designer expertise, from Tableau data model publication, interactive dashboard, design/development

  • and other BI technologies Promotes and practices risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to required standards and processes End to End Tableau designer expertise, from Tableau data model publication, interactive dashboard, design/development

  • Github ETL: Job scheduler experience like Oozie or Airflow; Nice to have Airflow experience Data Science tools (nice to have): R, RStudio, Tensorflow Monitoring: Hands on experience with monitoring tools such as AWS CloudWatch, Datadog and Elastic Search Networking: Working knowledge of TCP/IP

  • Design and develop extract, transform and load (ETL) process using Talend data management platform. oTalend Data Integration platform oTalend Data Quality platform oTalend Administration console Should also have good expertise in SQL queries, stored procedure, query design and optimization

  • Minimum Years of Experience Required 3 - 7 years Mandatory Skills: Java (strong experience required) AWS Strong in Data structures and algorithm

  • Role: Java Developer Employment Type:Contract Experience:4+Years Notice:Immediate-15Days Job Description: Java/J2EE,Spring,Hibernate,Data Structure,Algorithm

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