Posted today · be early
Data Engineering Architect
Lingaro
IndiaremotePosted today
Skill Required
Data-Engineering-and-ArchitectureData-ArchitectData-EngineerData Engineerdata engineeringEngineeringrelated fieldDatabricksanalyticalObservabilitydesigninganalyticssecuritybuildingSparkPythonHadoopdesignAzureUnityAgileCloudRustInformaticaETLSQLandContract
Key highlights
- Required experience: 9-12 years
- Employment type: Part-time freelance (up to 50%)
- B2B sole proprietorship required
- Remote work policy available
- Company founded in 2008
- 1,600+ professionals worldwide
Role overview
We are committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. As an ethical business, we believe diversity fuels both personal and business growth and we ensure equal opportunities and a safe, respectful workplace.
Responsibilities
- Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions.
- Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting.
- Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables.
- Support the team throughout the implementation process, answering questions and addressing issues as they arise.
- Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications.
- Stay updated with emerging trends and technologies in data engineering, recommending and implementing innovative solutions as appropriate.
- Conduct performance analysis and optimization of data engineering systems, identifying and resolving bottlenecks and inefficiencies.
- Ensure data quality and integrity throughout the data engineering processes, implementing appropriate validation and monitoring mechanisms.
- Collaborate with cross-functional teams to integrate data engineering solutions with other systems and applications.
- Participate in project planning and estimation, providing technical insights and recommendations.
- Document data architecture, infrastructure, and design decisions, ensuring clear and up-to-date documentation for implementation, reference and knowledge sharing.
Requirements
- 9-12 years of work experience as a Data Engineering Architect or a similar role.
- Strong experience in the Data & Analytics area.
- Proven experience in using Microsoft ETL tools (Azure Databricks, Azure Data Factory, Data Lake and SSIS), Databricks, Unity Catalog, Asset Bundles, Data Factory, Microsoft Fabric, Logic App, Function App.
- Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance.
- Expertise in designing and implementing scalable and efficient data processing frameworks.
- In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark).
- Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy.
- Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges.
- Proficiency in Python, PySpark, SQL.
- Hands-on experience with Azure cloud platforms, and experience in designing and implementing data solutions in a cloud environment.
- Knowledge of data governance principles and best practices, including data privacy and security regulations.
- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- Experience in leading and mentoring data engineering teams, providing guidance and technical expertise.
- Familiarity with agile methodologies and experience in working in agile development environments.
- Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
- Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.
- Strong understanding of distributed computing principles, including parallel processing, data partitioning, and fault-tolerance.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- An active sole proprietorship (B2B) is required throughout the duration of the agreement.
Nice to have
- A Master's degree.
Benefits
- Flexible collaboration model and working hours.
- Enjoy working from inspiring locations in line with our remote work policy.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work.
Additional details
- Open-ended freelance agreement.
- Part-time engagement: Work up to 50% of full-time workload, depending on current project needs.
- Flexibility: We’ll reach out whenever a suitable project opportunity comes up; you are free to decline without terminating the agreement.
- Equipment: Freelancers typically work using equipment provided by us or access to a virtual machine.
- Lingaro has been operating since 2008 and brings together 1,600+ professionals across 7 global locations.
- Originally posted on Himalayas
