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3-5 Years
Not Disclosed

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Job Description

DATA ENGINEER - 4-8 years Experience

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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