Junior Data Engineer, Information Technology
1 day ago
Dhaka, Dhaka Division, বাংলাদেশ
Praava Health
পূর্ণকালীন
ইমেল বা Google সহ বিনামূল্যে
এই কাজ সংরক্ষণ করুন এবং আপনার অনুসন্ধান সংগঠিত রাখুন
চাকরি বাঁচাতে একটি বিনামূল্যের অ্যাকাউন্ট তৈরি করুন, সতর্কতা তৈরি করুন এবং আপনার ড্যাশবোর্ড থেকে এই তালিকায় ফিরে যান।
ইমেল বা Google সহ বিনামূল্যে
চালিয়ে গেলে আপনি নিম্নলিখিতগুলিতে সম্মত হচ্ছেন: শর্তাবলী & গোপনীয়তা নীতি.
We are looking for a Junior Data Engineer, Information Technology to build, optimize, and maintain our data pipelines and healthcare analytics infrastructure. You will work closely with cross-functional teams to make clinical and operational data reliable, secure, and accessible for business intelligence.
Key Responsibility Areas:
• Design, build, and maintain automated ETL/ELT pipelines using Apache Airflow and Python (pandas, NumPy, SQLAlchemy, psycopg, etc).
• Write, test, and optimize complex SQL queries, stored procedures, and data models to support reporting and analytics.
• Assist in developing and maintaining the central Data Warehouse (DWH) architecture to ensure data integrity and query performance.
• Design, build, and support interactive dashboards and operational reports using BI tools (e.g., Metabase).
• Extract and transform data across internal healthcare platforms, diagnostic systems, and operational databases.
• Troubleshoot data pipeline bottlenecks, monitor scheduled workflows, and validate data consistency. Additional
skills:
• Familiarity with Cloud platforms (Azure or AWS).
• Experience with Linux environments, Bash/shell scripting, and Docker.
• Experience handling healthcare or clinical data workflows.
Qualifications:
B.
Sc in CSE
Experience:
• 1+ years of experience in a data engineering, ETL/ELT development, or database management role. Freshers are encouraged to apply.
• Familiarity with Python for scripting and data manipulation.
• Strong proficiency in SQL (query optimization, joins, aggregations, indexing).
• Hands-on experience building and scheduling workflows with Apache Airflow.
• Practical understanding of Data Warehousing (DWH) concepts and dimensional modeling.
• Working knowledge of relational databases (e.g., PostgreSQL, Oracle).
• Design, build, and maintain automated ETL/ELT pipelines using Apache Airflow and Python (pandas, NumPy, SQLAlchemy, psycopg, etc).
• Write, test, and optimize complex SQL queries, stored procedures, and data models to support reporting and analytics.
• Assist in developing and maintaining the central Data Warehouse (DWH) architecture to ensure data integrity and query performance.
• Design, build, and support interactive dashboards and operational reports using BI tools (e.g., Metabase).
• Extract and transform data across internal healthcare platforms, diagnostic systems, and operational databases.
• Troubleshoot data pipeline bottlenecks, monitor scheduled workflows, and validate data consistency. Additional
skills:
• Familiarity with Cloud platforms (Azure or AWS).
• Experience with Linux environments, Bash/shell scripting, and Docker.
• Experience handling healthcare or clinical data workflows.
Qualifications:
B.
Sc in CSE
Experience:
• 1+ years of experience in a data engineering, ETL/ELT development, or database management role. Freshers are encouraged to apply.
• Familiarity with Python for scripting and data manipulation.
• Strong proficiency in SQL (query optimization, joins, aggregations, indexing).
• Hands-on experience building and scheduling workflows with Apache Airflow.
• Practical understanding of Data Warehousing (DWH) concepts and dimensional modeling.
• Working knowledge of relational databases (e.g., PostgreSQL, Oracle).