Name of the position: Data Integration Engineer
No. of resources needed: 01
Years of experience: 5+ Years
Job Overview:
We are seeking an experienced Senior Data Integration Engineer to design, develop, and maintain scalable data pipelines and optimize data storage solutions. You will work with cloud platforms, big data technologies, and ETL processes to support business intelligence and analytics.
Key Responsibilities:
- Design and implement scalable data pipelines using Python, PySpark, and Big Data tools.
- Optimize data processing performance in AWS.
- Collaborate with business teams to deliver reliable data solutions.
- Develop and maintain ETL processes using tools like Airflow, Azkaban, and AWS Glue.
- Troubleshoot and ensure data integrity across data pipelines.
- Mentor junior team members and promote best practices.
Key Skills:
- Strong experience with Python, PySpark, SQL, AWS (Redshift, Glue, S3).
- Expertise in big data technologies (Hadoop, Hive, Spark).
- Proficient in data modeling and ETL orchestration.
- Experience with business intelligence tools (Tableau, Power BI).
- Strong problem-solving and communication skills.