Aws Data Architect / Aws Senior Data Engineer @ Diraa HR Services

Job Description

Technical Skill - Data Architect, ETL, Data Engineer, Python, SQL and Any Cloud Role and Responsibilities Develop architectural strategies for data modelling, design and implementation to meet stated requirements for metadata management, master data management, Data warehouses, ETL and ELT. Analyzing business requirements, designing scalable/ robust data models, documenting conceptual, logical & physical data model design, helping developers in development/ creating DB structures and supporting developers throughout the project life cycle. Lead and Mentor Data Engineers: This role will be responsible for leading and developing a team of data engineers focused on the growth in the team's skills and ability to execute as a team using DevOps and Data Ops principles. Investigate new technologies, data modelling methods and information management systems to determine which ones should be incorporated onto data architectures, and develop implementation timelines and milestones. Recognizes and resolves conflicts between models, ensuring that information and data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions). Participates in the design of the information architecture: supports projects, reviews information elements including models, glossary, flows, data usage. Provides guidance to the team in achieving the project goals/milestones. Works independently within broad guidelines and policies, with guidance in only the most complex situations. Contribute as an expert to multiple delivery teams, defining best practices, building reusable design & components, capability building, aligning industry trends and actively engaging with wider data communities. Required Skills Graduate or post graduate in Computer science/Electronics/Software engineering. 10+ years of relevant experience in Data modelling for DW & analytics applications / Database related technologies. Expert data modelling skills (i.e. conceptual, logical and physical model design, experience with Enterprise Data Warehouses and Data Marts). Solid understanding of cloud database technologies and services (eg.AWS, Azure , Redshift, Aurora, DynamoDB, Snowflake etc) Experience in data lake technologies involving S3, Databricks Delta Lake, etc Experience in working with data governance, data quality, and data security teams. Experienced in knowledge-driven data processing techniques like data curation, representation, standardization, normalization and any other type of processing that prepares the data for integration, persistence, analysis, exchange/share and so forth. Experience in handling very large DBs and large data volumes Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production. Ability to lead and mentor teams for effective delivery Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: IT Operations / EDP / MIS
Functional Area: Not Applicable
Role/Responsibilies: Aws Data Architect / Aws Senior Data Engineer

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Keyskills:   ETL Python SQL AWS Azure DynamoDB Snowflake Data Architect Data Engineer Redshift Aurora