
Data Engineer
19 hours ago
Key Responsibilities :
Python Proficiency :
- Demonstrate strong command of Python, actively contributing to the development and enhancement of data engineering solutions.
Data Engineering Expertise :
- Build and manage efficient and scalable data pipelines.
- Work with SQL, Data Warehouses, and Data Lakes to ensure robust data integration.
- Perform data cleansing and implement validation techniques to ensure high data integrity.
Tool and Platform Proficiency :
- Must have hands-on experience with Databricks.
- Experience with additional data engineering platforms/tools is a plus.
- Stay updated with industry trends and continuously improve data processes.
Collaboration and Communication :
- Work closely with data scientists, analysts, and software engineers to align on data strategies.
- Clearly communicate technical insights to non-technical stakeholders.
Documentation and Best Practices :
- Maintain thorough documentation for data workflows and infrastructure.
- Promote and implement data engineering best practices.
Must-Have Skills :
- Bachelor's or Master's degree in Engineering (B.Tech, BE, M.Tech, ME) in any field.
- At least 3 years of hands-on experience as a Data Engineer.
- Strong proficiency in Python and SQL.
- Experience with Databricks and managing data pipelines, data warehouses/lakes.
- Strong analytical, problem-solving, and critical thinking skills.
Nice-to-Have Skills (Optional) :
- Experience with cloud platforms (AWS, Azure, GCP) and PySpark.
- Familiarity with big data tools such as Hadoop, Spark, Snowflake.
- Understanding of containerization tools like Docker or Kubernetes.
- Interest or experience in data visualization tools (Power BI, Tableau).
- Certifications in data engineering, cloud, or ML technologies.
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