Job Description
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We are hiring an experienced and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines. The ideal candidate will be highly skilled in Data Engineering, ETL Processes, Cloud Data Platforms, and Big Data Technologies to ensure seamless data flow and analytics support.
🔹 Key Responsibilities:
- Design and implement robust ETL pipelines for structured and unstructured data.
- Build scalable data architectures using SQL, Python, and Apache Spark.
- Manage large datasets using Big Data technologies (Hadoop, Kafka, Hive).
- Work with Cloud Platforms such as AWS, Azure, and Google Cloud for data storage and processing.
- Collaborate with Data Scientists and BI Analysts to deliver accurate insights.
- Ensure data governance, security, and compliance across all systems.
🔹 Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Strong expertise in SQL, Python, and Java.
- Experience with Data Warehousing (Snowflake, Redshift, BigQuery).
- Proficiency in Data Modeling and database design.
- Familiarity with Machine Learning pipelines is a plus.
- Excellent problem-solving and communication skills.
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#SQL
#Python
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#Azure