Senior Data Engineer | Remote | Meazure Learning

The Role:

Sr.

The Responsibilities:

Data

• Design, build, and maintain scalable and reliable data pipelines to process and transform large volumes of data from various sources.
• Work with cross-functional teams to understand data requirements and ensure that data is collected, processed, and stored in an optimal way for analytics and reporting.
• Implement and optimize ETL (Extract, Transform, Load) processes to ensure efficient and accurate data delivery to stakeholders.

Data Modeling & Architecture:

• Design and implement data models that support business intelligence and analytics needs, ensuring data is structured efficiently and meets reporting and analytical requirements.
• Develop and maintain robust data warehouses and databases, ensuring high performance, scalability, and security.
• Collaborate with the data architecture team to improve and streamline the overall data architecture of the organization.

Collaboration & Cross-Functional Support:

• Work closely with data scientists, data analysts, and other teams to understand data needs and ensure data is available for analysis and reporting.
• Provide technical expertise to other departments by developing data solutions that support key business objectives.
• Troubleshoot and resolve data-related issues, ensuring the reliability and accuracy of the data.

Continuous Improvement & Optimization:

• Optimize data processing performance to ensure scalability and efficiency across the organization.
• Continuously monitor and improve data pipeline performance, addressing any bottlenecks or inefficiencies.
• Stay up-to-date with the latest data engineering best practices and tools, implementing improvements where applicable.

Documentation & Best Practices:

• Create and maintain thorough documentation of data pipeline workflows, data models, and architectural decisions.
• Promote data engineering best practices and contribute to establishing standards for data quality, security, and governance.

Additional Position Information:

• Remote India Opportunity
• Core Hours: 2 PM – 11 PM (IST)
• Core Days Worked: Monday - Friday

The Desired Attributes:

• Advanced Data Engineering Skills:

  Proficient in programming languages such as Python, SQL, and Java, as well as experience with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).

• ETL

  Experience:

  Solid understanding and experience building, maintaining, and optimizing ETL pipelines, including handling complex data transformations.

• Data

  Architecture

  Expertise:

  Knowledge of data modeling, database design, and big data technologies, with the ability to design scalable data infrastructure.

• Problem-Solving and Analytical Thinking:

  Strong ability to diagnose and solve technical issues and optimize data processing workflows.

• Collaboration

  Skills:

  Ability to work well within cross-functional teams and with business stakeholders to understand their data needs.

• Attention

  to

  Detail:

  Strong focus on data quality and accuracy to ensure that data is reliable and suitable for analytics.

• Communication

  Skills:

  Ability to communicate complex technical concepts clearly and effectively to non- technical stakeholders.

• Experience:

  At least 3-5 years of experience as a data engineer or in a related role, with a proven track record of building and maintaining data systems.

• Educational Background:

  A degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.

The Total Rewards - The Benefits:

• Competitive Pay
• Healthy Work Culture
• Career Growth Opportunities
• Learning and Development Opportunities
• Company Sponsored Health Insurance
• Referral Award Program
• Company Provided IT Equipment (for remote team members)
• Transportation Program (on-site team members)
• Company Provided Meals (on-site team members)
• 14 Company Provided Holidays
• Generous Leave Program