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Senior Data Engineer

Senior Data Engineer

S&P Global Market Intelligence

5 - 10 years

6 - 10 Lacs

hyderabad

Posted:5 hours ago| Platform:

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Skills Required

data warehousing data modeling python data engineering etl process hive amazon redshift pyspark sql plsql gcp spark software engineering hadoop etl big data snowflake oracle airflow microsoft azure tableau sqoop aws informatica unix

Work Mode

Work from Office

Job Type

Full Time

Job Description

Grade Level (for internal use):

The Role:

Senior Data Engineer

The Team:

The MI Sustainability team is dedicated to driving sustainable business practices through innovative data solutions. We are a diverse group of passionate individuals committed to leveraging technology to promote environmental and social responsibility. Our team values collaboration, creativity, and a global mindset, striving to make a positive impact within our organization and the broader community.

The Impact:

This role contributes significantly to the business by developing and maintaining scalable data pipelines that support the increasing complexity of data. The successful candidate will enable cross-functional teams to make informed decisions, ultimately promoting sustainable practices within the organization and enhancing our clients' capabilities.

Whats in it for you:

Opportunity to work on impactful projects that drive sustainability in business practices.
Gain exposure to innovative data solutions and cutting-edge technologies.
Collaborate with a diverse team of professionals dedicated to continuous learning and development.
Contribute to meaningful projects that make a positive impact on the environment and society.

Responsibilities:

Develop and maintain scalable data pipelines and build new integrations to support increasing data volume.
Collaborate with data scientists and architects to design and implement sustainable data solutions.
Ensure software quality through code reviews, testing, and adherence to best practices.
Work closely with cross-functional teams to understand data requirements and provide actionable insights.
Stay updated with industry trends and technologies to enhance data engineering processes.
Mentor junior engineers and foster a culture of continuous improvement.

What Were Looking For:

Basic Required Qualifications:

Bachelor or Master's (preference) degree in Computer Science, Engineering, or a related field.
5+ years of experience in software engineering, emphasizing Python and data engineering.
Proven experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong understanding of data modeling, ETL processes, and data warehousing.

Key Soft Skills:

Excellent problem-solving abilities and the capacity to work independently.
Strong communication skills and ability to collaborate effectively in a team environment.
A proactive approach to learning and adapting to new technologies.
Commitment to promoting a global mindset and continuous improvement.

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