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Job Description & How to Apply Below
Location :
Remote
No of Positions - 3 (In Fulltime Only)
Job Description:
Key Responsibilities
• Data Pipeline Development:
Design, develop, and maintain scalable data pipelines to support various data analytics and reporting needs.
• Data Integration:
Integrate data from multiple sources and ensure data quality and consistency.
• Data Modelling:
Build and optimize data models using Spark to support complex data transformations and analysis.
• SQL Development:
Write efficient SQL queries to extract, transform, and load data into data warehouses and other storage solutions.
• Big Data Processing:
Utilize big data technologies, especially Apache Spark, to process and analyze large datasets.
• Cloud Services:
Implement and manage data solutions on cloud platforms such as Azure, AWS, or GCP.
• Problem Solving:
Analyze and resolve data-related issues, ensuring data accuracy and reliability.
•
Collaboration:
Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Required
Skills and Qualifications
•
Education:
Bachelor's degree in Computer Science, Information Technology, or a related field.
•
Experience:
3 to 5 years of experience in data engineering or a related role.
• Programming:
Proficient in Python, with experience in data manipulation and automation scripts.
• Big Data:
Strong knowledge of big data technologies, especially Apache Spark.
• SQL:
Excellent skills in writing and optimizing SQL queries.
• Data Modelling:
Experience in data modelling and data architecture, particularly using Spark.
• Cloud Platforms:
Hands-on experience with at least one cloud platform (Azure, AWS, GCP).
• Data Analytics Concepts:
Solid understanding of data engineering and analytics concepts.
• Problem Solving:
Strong problem-solving skills with the ability to troubleshoot data issues effectively.
• Communication:
Good communication skills, with the ability to work collaboratively in a team environment.
Preferred Qualifications
• Databricks:
Experience with Databricks tool is a plus but not mandatory.
•
Certifications:
Certifications in Databricks or Azure (or any relevant certifications) are highly desirable.
Thanks & Regards,
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