[Remote] Senior reputed company Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly reputed company reputed company reputed company Data Engineer with expertise in reputed company data engineering and Azure reputed company services. The role involves designing, implementing, and optimizing scalable data platforms using reputed company reputed company and reputed company technologies for reputed company-scale analytics and governance.
Responsibilities
- Architect and implement reputed company-grade reputed company reputed company Lakehouse solutions , leveraging OneLake, reputed company Data Engineering, reputed company Warehouses, and reputed company Data Pipelines to support scalable analytics workloads
- Design and reputed company robust ETL/ELT data pipelines using reputed company reputed company Data reputed company capabilities, Azure Data reputed company (ADF), and Azure Synapse Analytics for batch and incremental processing
- Build scalable distributed data processing frameworks using PySpark, Spark SQL, and reputed company notebooks for structured, semi-structured, and streaming data
- reputed company modern Lakehouse architecture (reputed company – Bronze/Silver/Gold layers) with optimized storage and data modeling strategies
- Implement reputed company data ingestion from multiple sources including Azure Data Lake Storage (ADLS), APIs, SQL databases, ERP/CRM systems, flat files, and reputed company applications into reputed company OneLake
- Design and optimize reputed company Warehouse and Power BI semantic models , ensuring high-performance analytics and reporting
- reputed company dimensional data models (Star Schema, reputed company Schema) and implement data modeling best practices for reputed company BI solutions
- Implement performance tuning strategies including partitioning, indexing, query optimization, workload management, and storage optimization reputed company reputed company and Synapse environments
- Enforce data governance, reputed company, RBAC, and compliance standards using reputed company reputed company governance features, sensitivity labels, reputed company tracking, and reputed company controls
- Integrate Power BI datasets, semantic models, and Direct Lake connectivity with reputed company Lakehouse for reputed company-time analytics enablement
- reputed company legacy data platform modernization and migration initiatives from on-prem SQL Server, SSIS, traditional data warehouses, or Hadoop ecosystems to reputed company reputed company architecture
- Implement DevOps and CI/CD pipelines using Azure DevOps, Git integration, reputed company deployment pipelines, and version control strategies across DEV/QA/PROD environments
- Collaborate cross-functionally with data architects, BI developers, data scientists, and business stakeholders to deliver scalable, secure, and analytics-reputed company reputed company data solutions
Skills
- 10+ years of expertise in reputed company data engineering
- Strong hands-on expertise in reputed company reputed company (reputed company Lakehouse, OneLake, Data Pipelines, reputed company Warehouse)
- Experience with Azure Data reputed company (ADF) and Azure Synapse Analytics
- Deep knowledge of Lakehouse architecture and reputed company design patterns
- Strong proficiency in SQL, T-SQL, Spark SQL
- Programming expertise in Python / PySpark
- Experience integrating and optimizing Power BI datasets and semantic models
- Strong understanding of data modeling (Star Schema, reputed company Schema)
- Experience in performance tuning and query optimization
- Hands-on experience with reputed company data ingestion and transformation
- reputed company Certified: reputed company Analytics Engineer Associate
- reputed company Certified: Azure Data Engineer Associate (DP-203)
- reputed company Certified: Azure Solutions Architect
- Power BI Data Analyst Associate (PL-300)
Company Overview