Senior Big Data Engineer
3 weeks ago
Job Title: Senior Big Data Engineer
Experience Required: 7+ years
Educational Qualification: Bachelor's degree from an accredited college or university
Job Description:
We are looking for a highly skilled Senior Big Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and developing complex Big Data pipelines using Python, Spark, Hadoop, and AWS. If you are passionate about data architecture and have a proven track record in managing large-scale data solutions, we want to hear from you
Key Responsibilities:
- Design, develop, deploy, and maintain scalable software solutions
- Build and manage large data lakes and data warehouses (e.g., Snowflake, Redshift, Synapse)
- Develop and optimize data pipelines for processing high volumes of data
- Work with AWS resources, including Kinesis, EMR, Glue, SQS, Lambda, etc.
- Collaborate with cross-functional teams within an Agile framework (Scrum)
- Ensure the performance, scalability, and reliability of data solutions
- Lead medium to large-scale projects that align with strategic business objectives
Required Skills & Qualifications:
- 7+ years of experience in Big Data Engineering
- Expertise in Python, Spark, Hadoop, and AWS
- Strong experience with SQL and NoSQL databases
- Proficient in data warehousing and data lake architecture
- At least 2+ years of experience in deploying and maintaining software in public cloud environments like AWS or Azure
- Solid understanding of computer science fundamentals, including data structures, algorithms, and object-oriented design
- Excellent analytical skills with the ability to work under pressure and within time constraints
- Demonstrated leadership abilities and a passion for technology
Preferred Qualifications:
- Experience with Snowflake or similar data warehousing technologies
- Familiarity with other public clouds like Azure
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