They are currently seeking a highly skilled and motivated Data Engineer to join their team at Quest Global, a leading company in the Energy industry. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining their data infrastructure and systems. Candidates with Bachelor's degree in Computer Science, Engineering, or a related field & Collaborate with cross-functional teams to understand data requirements and design efficient data models are eligible to apply. The place of posting will be at Bengaluru, Karnataka. Candidates kindly read all the informations given below, before proceed to apply
Name of the
Organization: Quest Global
Requisition
ID: P-100522
Positions: Data
Engineer - Market Analysis
Location: Bengaluru
Salary: As per
company Norms
Educational
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Proficiency in SQL and database management systems.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data warehousing concepts and dimensional modeling.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Responsibilities:
- Collaborate with cross-functional teams to understand data requirements and design efficient data models.
- Develop and implement data pipelines, ETL processes, and data integration solutions.
- Optimize data storage and retrieval for performance and scalability.
- Ensure data quality and integrity by implementing data validation and cleansing techniques.
- Monitor and troubleshoot data pipelines and systems to ensure smooth and uninterrupted data flow.
- Collaborate with data scientists and analysts to support their data needs and enable data-driven decision making.
- Stay up-to-date with the latest trends and technologies in data engineering and propose innovative solutions to enhance our data infrastructure.
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