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Dwh Architect
2 months ago
Hands-on experience and knowledge of Data Warehouse best practices, Teradata, Hadoop, and Informatica ETL, and working knowledge of SDLC/agile methodology is required for the role. Additionally, you should have experience with systems design and development from business requirements analysis through implementation and ongoing support. We believe a good work ethic, superb communication, Excellent analytical and problemsolving skills, and the ability to effectively engage with technical and non-technical colleagues will allow for success.
Your responsibilities will include: Datawarehouse Architect:
**Responsibilities**:
- Define the LDM,CDM and PDM for data analytics project
- Analyze and organize raw data
- Experience in developing and maintaining the complex data repositories
- Experience in handling slowly changing dimension datasets, master data management
- Expertise in defining the enterprise data warehouse as well as Dimensional data model using star/snowflake schema
- Build data systems and pipelines
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modeling
- Build algorithms and prototypes
- Identify opportunities for data acquisition
- Collaborate with data scientists and architects on several projects
**Requirements and skills**
- Previous experience as a data engineer or in a similar role
- Technical expertise with data models, data mining, and segmentation techniques
- Knowledge of programming languages
- Advanced working SQL knowledge and experience working with relational databases, query authoring
(SQL) as well as working familiarity with a variety of databases.
- Hands-on experience with SQL database design
- Data engineering certification (e.g IBM Certified Data Engineer) is a plus
- Strong analytic skills related to working with unstructured datasets.
8+ years experience in Data Warehousing including the following:
- 2+ years of hands on ETL (i.e, Informatica/Data Stage) experience
- 2+ years of hands on Big Data Experience (Hadoop, Spark, Hive)
- 2+ Unix/Linux scripting experience o 4+ years Database experience in SQL Server/ Oracle/ MySQL/Postgres SQL o 8+ years experience working in a cross-functional environment
- 8+ years of Teradata experience or related Appliance, PowerBI, Tabular Data Models
**Tech stack**:
- Mysql, Postgresql, sql server Database platform, ETL tools like Talend(preferred), SSIS,
- Data visualization Tool: Power BI, Tableau.Knowledge on Javascript : highcharts, D3.js good to have
**Job Types**: Full-time, Regular / Permanent
**Salary**: ₹4,000,000.00 per year
Schedule:
- Day shift
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