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Data Engineering Architect

3 hours, 44 minutes ago
India
Freelance
Lead
Data Architect
Software Development
Agile Apache Spark Azure Databricks Hadoop Python SQL
Apply Now
Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5001+
Founded 2008
View All Jobs 2

Description

  • Translate business requirements into data engineering solution designs and technical specifications.
  • Collaborate with data scientists, analysts, and stakeholders to define data requirements for analysis and reporting.
  • Provide technical guidance, mentoring, and best-practice support to data engineering teams.
  • Oversee solution implementation to ensure alignment with architecture and design documentation.
  • Analyze and optimize data engineering system performance, resolving bottlenecks and inefficiencies.
  • Ensure data quality, integrity, validation, and monitoring across engineering processes.
  • Integrate data engineering solutions with other systems and applications.
  • Contribute technical input to project planning, estimation, and delivery.
  • Document data architecture, infrastructure, and key design decisions.
  • Evaluate emerging data engineering technologies and recommend appropriate innovations.

Requirements

  • 9–12 years of experience as a Data Engineering Architect or in a similar Data & Analytics role.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field; a master’s degree is preferred.
  • Experience with Microsoft and Azure data tools, including Azure Databricks, Azure Data Factory, Data Lake, SSIS, Microsoft Fabric, Logic Apps, and Function Apps.
  • Experience with Databricks, Unity Catalog, and Asset Bundles.
  • Proficiency in Python, PySpark, and SQL.
  • Strong knowledge of data modeling, ETL processes, data pipelines, data governance, and scalable data-processing frameworks.
  • Hands-on experience designing and implementing cloud-based data solutions on Azure.
  • Knowledge of relational and NoSQL databases, data lakes, data warehouses, and big-data frameworks such as Hadoop and Spark.
  • Understanding of distributed computing principles, including parallel processing, data partitioning, and fault tolerance.
  • Experience leading and mentoring data engineering teams, working in agile environments, and managing project timelines.
  • Active sole proprietorship (B2B) maintained throughout the freelance agreement.

Benefits

  • Open-ended freelance agreement with part-time work of up to 50% full-time capacity, based on project needs.
  • Flexible project participation: accept suitable assignments or decline them without ending the agreement.
  • Flexible working hours and remote-work options.
  • Company-provided equipment or virtual-machine access, depending on the project.
  • Autonomy in how work is performed.
  • Inclusive, values-driven global technology community.

Interested in this position?

Apply directly on the company website

Apply Now

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