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Data Architect - Tableau / Power BI
TERRAGIG LLPDelhi, IN30+ days ago
Job descriptionDocument data architecture designs, data flows, and data models. Participate in the development and execution of data migration and data integration projects. Work closely with data scientists and analysts to understand their data needs and provide appropriate data solutions. Ensure data security and privacy considerations are integrated into the data : Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. 5+ years of experience in data architecture, data modeling, and database design. Proven experience designing and implementing data warehousing and data lake solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse). Strong understanding of various database technologies (e.g., relational, NoSQL, data Experience with ETL / ELT tools and data integration technologies (e.g., Apache Spark, Informatica, Talend, AWS Glue, Azure Data Factory, Google Cloud Dataflow). Proficiency in SQL and experience with data manipulation and analysis. Familiarity with data governance principles and practices. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. Strong understanding of data security and compliance Qualifications : Experience with specific industry data models and standards. Familiarity with data science and machine learning workflows. Experience with data visualization tools (e.g., Tableau, Power BI). Certifications in relevant data management technologies
Job Description :
- Develop and maintain a comprehensive data architecture blueprint that aligns with business strategy and technical requirements.
- Design and implement scalable and high-performance data models, data warehouses, data lakes, and data marts.
- Define data governance policies, standards, and procedures to ensure data quality, security, and compliance.
- Evaluate and recommend data management technologies and tools, including database systems, ETL / ELT tools, and data analytics platforms.
- Collaborate with engineering teams to implement data pipelines and integrate data from various sources.
- Optimize data systems for performance, reliability, and cost-effectiveness.
- Troubleshoot and resolve data-related issues and provide technical guidance to development teams.
- Stay abreast of emerging data management trends and technologies and evaluate their
potential application within the organization.
ref : hirist.tech)
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Data Architect • Delhi, IN
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