Senior Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in India.

This role offers the opportunity to design and build scalable data platforms that support critical business decisions and analytics initiatives.The Senior Data Engineer will play a key role in developing robust data architectures, pipelines, and processing solutions.You will work on large-scale data environments, transforming complex datasets into reliable and accessible information.The position requires strong technical expertise across data engineering, cloud technologies, and modern analytics ecosystems.You will collaborate with cross-functional teams to deliver high-quality solutions while improving data reliability and performance.This is an ideal opportunity for an experienced data professional who enjoys solving complex challenges and building impactful data solutions.

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Accountabilities The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data infrastructure while ensuring data quality, reliability, and accessibility. This role requires strong engineering capabilities, analytical thinking, and collaboration with technical and business stakeholders.

• Architect and build large-scale data platforms, including data lakes, data marts, and enterprise data solutions.

• Design, develop, and maintain efficient data pipelines and ETL processes to support analytics and reporting needs.

• Create and optimize database structures, data models, and processing workflows.

• Develop solutions using SQL, data modeling techniques, and modern data engineering practices.

• Manage and improve data integration processes across multiple sources and systems.

• Work with cloud-based data platforms, including Google Cloud Platform environments and related services.

• Implement and support big data processing solutions using technologies such as Hadoop and Spark.

• Collaborate with analytics teams to enable reporting solutions using platforms such as Looker, Power BI, or similar tools.

• Support event-driven architectures and streaming data processing solutions using technologies like Kafka, Spark, or Flink.

• Monitor data systems, troubleshoot issues, and continuously improve performance, scalability, and reliability.

• Partner with stakeholders across teams to understand requirements and deliver effective data solutions.

Requirements

The ideal candidate is an experienced data engineering professional with a strong background in designing scalable data platforms and developing reliable data solutions. They should have excellent technical skills, problem-solving abilities, and the ability to collaborate effectively with different teams.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.

• 6+ years of experience designing and building large-scale data platforms.

• Proven experience working as a Data Engineer or in a similar technical role.

• Strong expertise in database design, development, and optimization.

• Advanced proficiency in SQL, data modeling, and ETL development.

• Experience working with data visualization and reporting tools such as Looker, Power BI, or equivalent platforms.

• Knowledge of Google BigQuery or similar cloud data warehouse technologies.

• Experience with cloud platforms, preferably Google Cloud Platform (GCP).

• Hands-on experience with big data technologies such as Hadoop and Spark.

• Understanding of event-driven architectures and streaming frameworks such as Kafka, Spark Streaming, or Flink is a plus.

• Familiarity with PostgreSQL or similar relational database systems is beneficial.

• Strong communication skills with the ability to collaborate with technical and non-technical stakeholders.

• Excellent problem-solving skills, attention to detail, and ability to manage complex technical challenges.

Benefits

• Competitive monthly compensation range of ₹1,00,000 - ₹2,00,000 per month.

• Remote work flexibility.

• Opportunity to work on large-scale data engineering projects.

• Exposure to modern cloud, analytics, and big data technologies.

• Opportunity to collaborate with experienced technical teams and business stakeholders.

• Professional growth opportunities through challenging engineering initiatives.

• Flexible work environment designed to support productivity and innovation.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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