We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. You will be responsible for designing, implementing, and maintaining data pipelines to support our organization's data infrastructure and analytics initiatives. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure the seamless flow of data across various systems and platforms.

Mandatory Skills: Python, Pyspark, SQL, Data Structures, Algorithms, Azure Databricks, Azure Data Factory, Azure Blob Storage, ETL, Data Pipelines and AWS.

Required Skills:

• Proficiency in Python programming language for data manipulation and pipeline development.
• Strong understanding of SQL and relational databases for data querying and manipulation.
• Experience with version control systems like Git for code management and collaboration.
• Working knowledge on least one of the cloud platforms (AWS, GCP, Azure) is required.

Preferred Skills:

• Familiarity with cloud platforms such as Azure, particularly Azure Data Factory, for data integration and orchestration.
• Experience with Databricks for big data processing and analytics.
• Knowledge of data warehousing concepts and methodologies.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3 to 7 years of experience in data engineering or a related role.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.