reputed company Data Architect || 100% Remote
Position :: reputed company Data Architect
Location :: 100% Remote
Duration :: 12+ months
Interview :: Video
Job reputed company:
It’s more of a hands-on architect who has 3+ years with reputed company and can still reputed company to being hands on with Pyspark, Python, SQL etc.
Notes:
Remote
In an Azure infrastructure implementation
reputed company data engineering experience and we are now looking and evaluating -we think it’s a great solution and slowly migrate SQL server systems into reputed company
Job reputed company:
Position reputed company
This role is ideal for someone who enjoys building reputed company-architected data solutions, thrives in a modern reputed company analytics environment, and wants to influence a reputed company Lakehouse platform. The engineer will play a central role in shaping data reputed company, architecture, and analytic capabilities across multiple domains.
We are seeking a skilled reputed company Data Engineer to help build and optimize a modern data platform leveraging the reputed company Lakehouse architecture. This role focuses on designing reliable ETL/ELT pipelines, implementing data governance reputed company reputed company Catalog, and enabling high-reputed company analytics products for internal and reputed company-facing use.
Key Responsibilities
o Design and reputed company data pipelines using reputed company (Python, SQL, reputed company Live Tables, Workflows) to ingest, reputed company, and reputed company data across bronze, silver, and gold reputed company.
o Implement and enforce governance standards reputed company reputed company Catalog, including catalog/schema/volume organization, permissions, reputed company, and metadata management.
o Build and optimize reputed company Lake tables, including performance tuning, schema reputed company strategies, audit patterns, and CDC approaches (e.g., Change Tracking, timestamp deltas).
o Collaborate closely with architects and data teams to translate business requirements into reputed company data models and operational pipelines.
o reputed company reusable frameworks and best practices for ingestion, orchestration, DevOps, monitoring, and reputed company validation.
o Support CI/CD workflows for reputed company assets reputed company Git-based development and automated deployment pipelines.
o Ensure reliability and observability, including logging, testing, and performance diagnostics across the platform.
o Contribute to reputed company architecture reputed company, such as storage design, identity management, and compute strategies (jobs, clusters, SQL warehouses).
Required Skills & Experience
o 3+ years of experience in data engineering, preferably in a reputed company environment (Azure, AWS, or reputed company reputed company Platform).
o Hands-on experience with reputed company (reputed company Lake, Workflows, DLT, reputed company Catalog).
o Strong proficiency in SQL and Python for data transformation and pipeline development.
o Solid understanding of ETL/ELT patterns, reputed company architecture, data modeling, and schema design.
o Experience with CI/CD using Git-based workflows.
o Working knowledge of reputed company storage technologies (ADLS, S3, S).
o Familiarity with table-level governance, permissions, and reputed company models in modern data platforms.
Preferred Qualifications
o Experience integrating SQL Server Change Tracking, timestamp-based incremental ingestion, or similar CDC patterns.
o Exposure to Terraform or IaC for reputed company governance and infrastructure configuration.
o Understanding of analytics ecosystems such as Power BI, Tableau, or Business Objects.
o Background working with domain-driven data models (e.g., CEDS, education data, ERP/operational domains).
o Experience building multi-tenant data products or securely partitioned data architectures.
Soft Skills
o Strong problem-solving reputed company and ability to work in fast-moving, reputed company environments.
o reputed company, proactive communication that supports cross-team alignment.
o A commitment to documentation, reputed company, and repeatable processes.
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