Wavicle Data Solutions
Found in: Whatjobs IN C2 - 2 weeks ago
Job Description :
- We are seeking a highly experienced Senior and Lead Data Engineer with over 6 years of expertise in data engineering.
- As a Lead Data Engineer, you will play a pivotal role in architecting and implementing data solutions.
- Your proficiency in Python, PySpark, AWS/Azure, Databricks/Snowflake, SQL, and leadership skills will be crucial for success.
Key Responsibilities :
- Lead and manage data engineering projects, overseeing the design and development of data pipelines.
- Architect scalable and efficient data solutions using Python and PySpark.
- Utilize cloud platforms such as AWS or Azure to build and maintain data infrastructure.
- Work with Databricks or Snowflake for advanced data processing and warehousing.
- Perform data modeling and design complex data structures.
- Write and optimize SQL queries and scripts for data transformation.
- Collaborate with cross-functional teams to define data strategies and deliver solutions.
- Proficiency in AWS Glue or Azure ADF for ETL processes.
- Previous experience with ETL tools like Talend or Informatica is preferred.
- Troubleshoot and optimize data pipelines for maximum performance and scalability.
- Ensure data quality, accuracy, and reliability throughout the data lifecycle.
- Stay updated on industry trends and emerging technologies in data engineering.
Requirements :
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 6 years of experience in data engineering.
- Expertise in Python, PySpark, AWS/Azure, Databricks/Snowflake, and SQL.
- Strong data modeling skills and deep understanding of data warehousing.
- Proficiency in AWS Glue or Azure ADF for ETL processes is preferred.
- Previous experience with ETL tools like Talend or Informatica is a plus.
- Proven leadership and project management skills.
- Excellent problem-solving, analytical, and communication skills.
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