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Senior Data Engineer (Remote - India) at Jobgether. 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 offers a unique opportunity to lead and shape data engineering initiatives for large-scale projects, helping organizations unlock the full value of their data. You will be responsible for designing, building, and optimizing data solutions in cloud environments, ensuring high performance, scalability, and security. The position requires deep expertise in Python, SQL, PySpark, and cloud platforms such as Azure, combined with experience in ETL pipelines, data warehousing, and governance. You will collaborate with stakeholders, mentor junior engineers, and drive best practices across technical teams. This is a highly impactful role for someone passionate about data engineering, problem-solving, and continuous learning in a flexible, remote-first environment.. . Accountabilities. Provide technical direction and expertise in data engineering, guiding the selection of tools, technologies, and methodologies.. Collaborate with stakeholders to define project requirements, scope, and plans while supporting project execution, monitoring progress, and mitigating risks.. Oversee the design, architecture, and optimization of data solutions, ensuring they are scalable, efficient, and aligned with business needs.. Conduct code reviews, enforce coding standards, and introduce quality assurance processes for data pipelines and workflows.. Optimize data processing, storage, and retrieval for performance, efficiency, and cost-effectiveness.. Maintain technical documentation, ensure security compliance, and continuously evaluate new technologies to enhance data engineering processes.. Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field; cloud certifications are a plus.. 9+ years of experience in data engineering or related fields, with expertise in Python, SQL, and PySpark.. Hands-on experience with Azure cloud platform, including Databricks, Data Factory, and Data Lake, and implementing cloud-based data solutions.. Familiarity with ETL frameworks, data pipelines, and data warehousing solutions.. Strong knowledge of data management principles, including data governance, data quality, and integration.. Excellent problem-solving, analytical, and communication skills, with the ability to collaborate with cross-functional teams and senior management.. Consulting exposure or experience working directly with external clients is preferred.. Continuous learning mindset to stay updated with the latest trends and advancements in data engineering.. . Company Location: India.