Relevant Experience 4+
No. of Openings1
QualificationB.Tech, M.Tech, BCA, MCA
Job TypeFull Time
ABOUT THE ROLE
Join the Data Platform Engineering team to contribute to building a state-of-the-art data platform for our client, leveraging various open-source technologies and features. As a Data Platform Engineer, you will play a key role in supporting the translation of customer requirements into the architecture and design of the data platform. This position covers a broad spectrum of responsibilities: scalable transactions, end-user reports, ETL processes, orchestration solution, and etc.
RESPONSIBILITIES
• Contribute expertise to the overall data eco-system's engineering best practices, standards, and architectural approaches.
• Collaborate in authoring, reviewing, and approving data requirements and designs, including ETL, data movement, pipelines, business intelligence, and analytics.
• Work alongside a team of engineers to build and maintain a custom data platform and Master Data platform.
• Participate in creating architecture and solution blueprints to meet client requirements.
• Collaborate with the project management team to develop the overall implementation solution plan and actively contribute to project life cycle phases within the solution area.
• Engage with data integration technologies to design and implement new solutions and processes to support evolving data management strategies.
• Work closely with business and technology client representatives to gather functional and technical requirements.
• Stay informed about the latest technology trends, particularly in the areas of data platforms.
JOB REQUIREMENTS
• At least 2 years of experience in data engineering.
• Proficiency in programming language Python.
• Knowledge of SQL for working with databases.
• Knowledge of data modeling concepts and the ability to design and implement efficient data storage structures.
• Experience with ETL processes and tools, in this case, Apache Airflow.
• Familiarity with version control systems like Git for code collaboration and tracking changes.
• Experience in working with Docker.
• Understanding of data warehouse concepts and experience working with dbt.
• Understanding of cloud-based data storage and processing services.
• Knowledge of data quality assurance and governance best practices.
• Understanding of data privacy and security considerations.
• Effective communication skills to collaborate with cross-functional teams and stakeholders.
• Strong problem-solving skills and the ability to troubleshoot issues in data pipelines.
• Eagerness to learn and adapt to new technologies and industry trends in data engineering.
• Certification in relevant technologies or eagerness to pursue certifications.
• Familiarity with Agile methodologies and ability to work in a collaborative team environment.
• Proficiency in English.
• Willingness to learn and share expertise with others.
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