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Senior Data Engineer

2 months ago

Delhi, Delhi, India Cloud Destinations Full time
Job Summary:

Cloud Destinations is seeking a highly skilled Data Architect Leader to design, develop, and maintain robust data pipelines and data warehouses. As a Senior Data Engineer, you will play a critical role in extracting, transforming, and loading (ETL) large datasets, analyzing data to uncover insights, and building data products that drive business decisions.

Key Responsibilities:

1. Data Engineering:

- Design, develop, and maintain efficient and scalable data pipelines using SQL, Python, and other relevant tools.

- Extract, transform, and load large datasets from various sources, including databases, APIs, and cloud storage.

- Implement data quality checks and validation processes to ensure data accuracy and integrity.

- Optimize data pipelines for performance and cost-effectiveness.

2. Data Analysis and Visualization:

- Analyze complex datasets to identify trends, patterns, and anomalies.

- Use SQL to query and manipulate data to answer specific business questions.

- Create insightful visualizations using tools like Data Studio to communicate data-driven insights to stakeholders.

3. Data Product Development: Build and maintain data products, such as dashboards, reports, and APIs, to empower data-driven decision-making.

4. Collaboration and Communication:

- Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs.

- Effectively communicate technical concepts to both technical and non-technical audiences.

- Work in a collaborative team environment to achieve project goals.

Requirements:

- Bachelor's degree in computer science, Engineering, or a related field.

- 5+ years of experience in data engineering and data warehousing.

- Strong proficiency in SQL and Python.

- Experience with ETL processes, data quality checks, and data validation.

- Experience with BI analytics and dashboarding tools like Data Studio.

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork skills.

- Ability to work independently and as part of a team.

Preferred Qualifications:

- Experience with PL/SQL, F1, and Dremel.

- Familiarity with GCP BigQuery.

- Proficiency with Jupyter Notebooks and Python.

- Experience with machine learning and AI.

- Knowledge of cloud computing concepts and best practices.

- Certification in data engineering or related certifications