Data Engineer

Data Engineer

YOUR TASKS AND RESPONSIBILITIES:

Data Analysis and Synthesis

• Conduct data profiling and analyze source systems to ensure data quality.
• Present clear insights and findings to colleagues to facilitate effective data usage.

Data Development Process

• Design, build, and test complex or large-scale data products.
• Collaborate with teams to deliver comprehensive data integration services.

Data Integration Design

• Select and implement appropriate technologies to create resilient, scalable, and future-proof data solutions and integration pipelines.

Data Modelling

• Develop relevant data models across various subject areas and articulate their purposes.
• Understand and apply industry-recognized data modeling patterns and standards.
• Compare and align different data models to ensure consistency.

Metadata Management

• Design and manage an effective metadata repository, and recommend changes to existing repositories.
• Familiarize yourself with various tools for managing metadata.
• Provide guidance and support to less experienced team members.

Problem Resolution

• Address issues in databases, data processes, and data products as they arise.
• Monitor services, identify trends, and initiate actions to resolve problems.
• Determine appropriate remedies and assist with their implementation and preventive measures.

Programming and Build

• Utilize established standards and tools to design, code, test, and document moderate-to-complex programs and scripts based on specifications.
• Collaborate with team members to review specifications and ensure alignment.

Technical Understanding

• Grasp core technical concepts related to data engineering and apply them with guidance.

Testing

• Review requirements and specifications, and define test conditions.
• Identify issues and risks associated with work, and analyze test activities and results.

WHO YOU ARE:

Required:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering or related roles, with a solid understanding of data integration and modelling.
• Proficiency in programming languages such as Python, SQL, and experience with data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data warehousing solutions and ETL (Extract, Transform, Load) processes.
• Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., relational databases, NoSQL databases).
• Strong analytical skills and the ability to present complex data insights clearly to stakeholders.
• Excellent problem-solving abilities and a proactive approach to identifying and resolving issues.

Preferred Qualifications:

• Experience with data visualization tools (e.g., MicroStrategy, Tellius) and business intelligence practices.
• Knowledge of data governance frameworks and best practices.
• Familiarity with Agile methodologies and project management tools.

Location: India : Karnataka : Bangalore

Division: Enabling Functions

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.