Senior Data Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in India.

This role is ideal for a hands-on data engineering professional who thrives in building scalable, high-performance data systems within a fast-paced, consulting-driven environment. You will design and operate modern data platforms using cloud-native technologies and lakehouse architectures, enabling organizations to unlock the full value of their data. Working across diverse industries, you will translate complex business needs into robust technical solutions while maintaining high standards of performance and data quality. The position offers a strong level of ownership and autonomy, encouraging proactive problem-solving and innovation. You will collaborate with cross-functional teams and stakeholders, contributing to impactful, enterprise-grade data solutions. This is an excellent opportunity to work with cutting-edge tools and shape the future of data-driven decision-making.

In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and platforms, ensuring reliable data delivery and high-quality analytics across enterprise environments.

• Design, develop, and maintain robust ETL/ELT pipelines using modern tools such as Databricks and Apache Airflow
• Build and manage data models across lakehouse architectures, including Bronze, Silver, and Gold layers
• Develop efficient and scalable data transformation logic using SQL and Python
• Deploy and manage data workloads on cloud platforms such as Azure and AWS
• Collaborate with data architects, analysts, and stakeholders to translate business requirements into technical solutions
• Monitor pipeline performance, troubleshoot issues, and continuously improve data reliability and quality
• Document technical designs, data flows, and operational processes to ensure clarity and maintainability
• Operate with a high degree of independence, proactively identifying risks, blockers, and optimization opportunities

Requirements

The ideal candidate is a technically strong and self-driven data engineer with deep experience in modern data stack technologies, cloud platforms, and scalable data architecture.

• 4+ years of hands-on experience in data engineering, preferably in consulting or client-facing environments
• Strong proficiency in SQL and Python for data processing and pipeline development
• Solid experience with Databricks, including Spark, Delta Lake, Unity Catalog, and job orchestration
• Proven expertise in Apache Airflow for workflow orchestration (DAG design, scheduling, monitoring)
• Experience working with cloud platforms such as Azure (ADF, ADLS, Synapse) and/or AWS (Glue, S3, Redshift)
• Strong understanding of data modeling concepts, including dimensional and lakehouse architectures
• Ability to work independently in remote environments with minimal supervision
• Excellent communication skills, with the ability to engage effectively with both technical and non-technical stakeholders
• Strong analytical thinking and problem-solving skills in complex, evolving environments

Benefits

• Competitive salary aligned with experience and market standards
• Opportunity to work on large-scale, enterprise data projects across multiple industries
• Exposure to modern data technologies, including Databricks and cloud-native platforms
• Flexible and remote-friendly work environment
• High ownership and autonomy in project execution
• Collaborative and learning-driven team culture
• Career growth opportunities within a fast-growing consulting environment
• Access to training and professional development resources