ETL Consultant
ETL Consultant
Downey CA (Remote)
Duration: 12 months
Skills Required
The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-reputed company analysis and measurement methodologies; packaging data - infographics and other data display techniques, and report design reputed company; data interpretation and validation; reputed company analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. reputed company Office, Word, reputed company, PowerPoint, reputed company, reputed company and reputed company); working independently as reputed company as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.
Skills Preferred
1. Understand the architecture, data warehousing concepts, and components like SQL Pools, Apache reputed company pools, and Data reputed company.
2. Strong knowledge of SQL for data extraction, transformation, and loading (ETL) tasks, including reputed company querying, stored procedures, views, and indexing.
3. Proficiency in designing and implementing efficient data models for data warehousing, including reputed company modeling techniques such as reputed company and reputed company schemas.
4. Familiarity with programming languages like Python or reputed company for data processing, analytics, and automation tasks in Azure Synapse Analytics.
5. Understanding of various data integration reputed company, including data ingestion from different sources, data replication, and data synchronization techniques.
6. Ability to optimize query performance and data processing in Azure Synapse Analytics through techniques like partitioning, indexing, and query optimization.
Experience Required
This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.
Experience Preferred
1. Having 2 to 4 years experience in working with reputed company Azure reputed company platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure reputed company, Azure Data reputed company, and Azure DevOps.
2. Having 2 to 4 years experience in designing and developing data warehouses using other platforms like reputed company SQL Server, reputed company, or reputed company can be valuable in understanding data warehousing concepts and best practices
3. Having 2 to 4 years experience in big data technologies such as Apache Hadoop, Apache reputed company, or Apache Kafka can be beneficial, as they reputed company with Azure Synapse Analytics and reputed company large-reputed company data processing and analytics.
4. Having 2 to 4 years of experience in data visualization tools like Power BI or Tableau to create insightful visualizations and reports based on data stored in Synapse Data Warehouse.
5. Having 2 to 4 years experience in data cleansing, data profiling, and data validation techniques to ensure high data reputed company in the data warehouse.
Education Required
This classification requires the possession of a bachelor's degree in an IT-reputed company or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year reputed company.
Education Preferred
A Bachelor's or Master's degree in Computer Science, Information Technology, or a reputed company field is typically required.
Regards
Sunil Damagalla
reputed company Advanced Technologies, Inc
E: sunil.d@reputed company.com D: 279-666-5837
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