Data Engineer
3 weeks ago
Location: Indore, Madhya Pradesh
Experience: 5-7 Years
Job Type: Full-time
Job Summary:
As a Data Engineer with a focus on Python, you'll play a crucial role in designing, developing, and maintaining data pipelines and ETL processes. You'll leverage Python to manage large datasets, automate data workflows, and ensure data accuracy and efficiency across our organization.
Key Responsibilities:
· Design, build, and maintain scalable data pipelines using Python.
· Develop ETL processes for extracting, transforming, and loading data.
· Optimise SQL queries and database schemas for enhanced performance.
· Collaborate with data scientists, analysts, and stakeholders to understand data needs.
· Implement and monitor data quality checks to resolve any issues.
· Automate data processing tasks with Python scripts and tools.
· Ensure data security, integrity, and regulatory compliance.
· Document data processes, workflows, and system designs.
Primary Skills:
· Python Proficiency: Experience with Python, including libraries such as Pandas, NumPy, and SQLAlchemy.
· SQL Expertise: Advanced knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
· Data Pipeline Development: Proven experience in building and maintaining data pipelines and ETL processes.
· Cloud Data Platforms: Familiarity with cloud-based platforms like AWS Redshift, Google BigQuery, or Azure Synapse.
· Data Warehousing: Knowledge of data warehousing and data modelling best practices.
· Version Control: Proficiency with Git.
Preferred Skills:
· Big Data Technologies: Experience with tools like Hadoop or Kafka.
· Data Visualization: Familiarity with visualisation tools (e.g., Tableau, Power BI).
· DevOps Practices: Understanding of CI/CD pipelines and DevOps practices.
· Data Governance: Knowledge of data governance and security best practices.
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