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:
Solid 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).
Solid problem-solving and communication skills.
Job Title:
Data Integration Engineer
City:
Anywhere in India
Industry:
IT
Qualification:
Any Degree
Year of Experience:
5+ years
Required Skills:
SQL, Data Modelling, Python, AWS Glue
Working Shift:
2PM to 11PM IST
Country:
India
📌 002azm Data Integration Engineer Tamil Nadu (India)
🏢 Augusta Hitech Soft Solutions
📍 India
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