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Data Engineer - Junior

juniorhybridBengaluru, PLScore 60/1002d ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
DocumentationSecurityAPI (Application Programming Interface)PythonDataStage (ETL)ETLTest-Driven Development (TDD)CI/CDAtlassian JIRACloudawsci/cd
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Description
Summary The main purpose of the Data Engineer role is to contribute to the Core Engineering team by developing scalable and maintainable data platforms that enhance the decision-making process and support technological advancements within the organization. Main Responsibilities Collaborate with analysts, architects, and stakeholders to understand requirements and produce maintainable solutions. Analyse raw data against requirements and provide early input for JIRA tickets, along with design and development activities. Design, develop, and maintain scalable, robust data pipelines and workflows to support data ingestion, transformation, and storage. Architect and optimize data models, ELT processes, and data architecture to ensure efficiency, quality, and security. Lead initiatives to improve existing data infrastructure, including migration, automation, and performance tuning. Monitor data quality and pipeline performance, troubleshoot issues, and minimize downtime. Ensure compliance with data governance, security policies, and privacy standards. Collaborate within a multidisciplinary engineering squad and provide technical guidance where necessary. Write and maintain documentation and operational runbooks. Support and improve the deployment processes. Key Requirements Strong analytical skills in working with both structured & unstructured datasets. In-depth knowledge of data modelling, data architecture, and ETL/ELT design principles. Expert-level proficiency in SQL. Proven
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