Senior Data Engineer

6 - 10 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Data Engineer in our rapidly growing data team, you will play a pivotal role in contributing to dynamic and innovative projects. We are seeking an individual who is prepared to take on challenges, possesses a solutions-oriented mindset, and demonstrates creativity in problem-solving. The ideal candidate will exhibit a strong passion for leveraging data to drive impact across the organization while embracing a collaborative approach to working effectively within cross-functional teams. If you are excited about pushing boundaries, tackling complex problems, and making a meaningful difference, we invite you to apply and join us on our exciting journey to shape the future of our products. Your responsibilities will include designing, developing, and deploying scalable ETL/ELT pipelines and APIs for data ingestion and transformation. You will implement best practices in data modeling to enhance accessibility, flexibility, and query performance, as well as establish data governance procedures to uphold data integrity and regulatory compliance. Moreover, you will collaborate closely with product managers, designers, and fellow engineers to ensure seamless product development from concept to deployment. Your influence within product and cross-functional teams will be crucial in identifying data-driven opportunities to drive impact. To excel in this role, you should possess a minimum of 6 years of experience in data engineering and cloud platforms, with prior exposure to senior or lead engineering positions. Technical proficiency in ETL, data modeling, and cloud data warehousing is essential, along with strong programming skills in Python, SQL, AWS, Snowflake, and related technologies. Hands-on experience in big data processing and API integrations will be beneficial. Your problem-solving skills, analytical abilities, attention to detail, and enthusiasm for troubleshooting and debugging will be key to your success. Additionally, exposure to AI, machine learning, and predictive analytics would be advantageous. Joining our team offers the opportunity to work within a global and dynamic environment, with the added benefit of remote work flexibility. We value continuous learning and encourage you to stay informed about industry trends and technologies to maintain the competitiveness of our tech stack. After submitting your application, please be sure to check your inbox for a confirmation email. If you do not receive it, kindly review your spam or junk folder and adjust your settings to ensure that future communications reach your inbox.,

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