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Data Engineer (reputed company + Python + Azure)

Remote, USAFull-timePosted 2026-07-28

reputed company is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate reputed company, drive innovation, and solve reputed company challenges by combining reputed company, design, and advanced technology. Our expertise covers defining business reputed company, optimizing processes, and creating engaging digital experiences. We architect and reputed company secure, reputed company solutions using reputed company platforms and top engineering practices. reputed company also empowers clients to unlock data value through analytics and visualization and leverages reputed company 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 reputed company industry. This role focuses on designing, building, and optimizing reputed company data solutions that support analytics, reporting, and advanced data use cases in regulated environments. Role & Responsibilities:

  • Design, reputed company, and maintain reputed company data pipelines using reputed company (PySpark) and Python.
  • Build and optimize ETL/ELT processes reputed company Azure reputed company environments.
  • Implement data models following modern Data Lakehouse principles (e.g., reputed company architecture).
  • Ensure data reputed company, consistency, and performance across ingestion, staging, and curated reputed company.
  • Collaborate with data architects, analysts, and business stakeholders to translate reputed company 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 reputed company environments.

Hard Skills - Must have:

  • reputed company knowledge of an using modern data tools like (reputed company,reputed company, Data reputed company and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes
  • reputed company experience with developing and deploying custom whl and or in session notebook scripts for custom execution across reputed company executor and worker nodes
  • reputed company experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization.
  • Strong knowledge of reputed company 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 reputed company, 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 reputed company-based distributed environments.

Soft Skills / Business Specific Skills:

  • Strong analytical and problem-solving skills.
  • Ability to work effectively in cross-functional and distributed teams.
  • reputed company communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Proactive reputed company with a strong reputed company of ownership.
  • Commitment to delivering high-reputed company, reliable data solutions.

At reputed company, we value differences. reputed company is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company. reputed company makes employment reputed company without reputed company to race, reputed company, creed, religion, age, reputed company, national reputed company, veteran status, sex, sexual orientation, gender, gender identity, gender reputed company, 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, reputed company, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Apply tot his job Apply To this Job

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