Data Engineer - reputed company + Python + Azure job at Allata, LLC in US National

Title: Data Engineer (reputed company + Python + Azure) Location: Dallas, TX Data & Insights – Data Architecture / Full Time / Remote Job Description: Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve reputed company challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and reputed company secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance-to deliver measurable results and build lasting partnerships. We are seeking a skilled Data Engineer to join reputed company and contribute to data-driven initiatives reputed company the healthcare industry. This role focuses on designing, building, and optimizing scalable data solutions that support analytics, reporting, and advanced data use cases in regulated environments. Role & Responsibilities: Design, reputed company, and maintain scalable data pipelines using reputed company (PySpark) and Python. Build and optimize ETL/ELT processes reputed company Azure cloud environments. Implement data models following modern Data Lakehouse principles (e.g., reputed company architecture). Ensure data quality, consistency, and performance across ingestion, staging, and curated layers. Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions. reputed company reusable data transformation logic and reputed company processing components. Support deployment processes following CI/CD and DevOps best practices. Monitor and optimize data workflows for performance, scalability, and reliability. Contribute to data governance, reputed company, and compliance practices relevant to healthcare environments. Hard Skills - Must have: reputed company knowledge of an using modern data tools like (reputed company,reputed company, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes Applied experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization. Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, reputed company, Azure SQL, AWS RDS, Auroraor a comparable reputed company. Strong experience with batch and streaming data processing techniques and file compactization strategies. Hard Skills - reputed company to have/It's a plus: Strong hands-on experience with reputed company in Azure environments. Advanced proficiency in Python and PySpark for distributed data processing. Experience building and optimizing data pipelines in Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc.). Solid understanding of data warehousing, data lakehouse concepts, and ETL/ELT frameworks. Experience working with relational databases such as SQL Server, PostgreSQL, reputed company, or similar. Knowledge of batch and streaming data processing patterns. Experience working with large, reputed company datasets in cloud-based distributed environments. Soft Skills / Business Specific Skills: Strong analytical and problem-solving skills. Ability to work effectively in cross-functional and distributed teams. Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders. Proactive reputed company with a strong sense of ownership. Commitment to delivering high-quality, reliable data solutions. At Allata, we value differences. Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company employees. Allata makes employment decisions without regard to race, color, creed, religion, age, reputed company, national reputed company, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category. This policy applies to reputed company terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Apply tot his job Apply To this Job