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Senior Data Engineer (Remote - India) at Jobgether. This position is posted by Jobgether on behalf of 2nd Watch. We are currently looking for a Senior Data Engineer in India.. We are seeking an experienced data engineering professional to lead the design, development, and optimization of modern data platforms that empower data-driven decision-making. In this role, you will partner with clients to understand their unique challenges, create robust architectures, and implement secure, scalable solutions. You will play a key role in building high-quality data pipelines, integrating diverse data sources, and delivering impactful visualizations. This position offers the opportunity to work in a collaborative, client-facing environment, contribute to pre-sales activities, and stay at the forefront of emerging cloud and data technologies. You will have a direct hand in shaping data strategies while driving innovation and best practices in analytics.. . Accountabilities. . Lead discovery sessions with clients to understand requirements and deliver state-of-the-art data architectures.. . Design, build, and optimize data pipelines to process structured and unstructured data in both batch and streaming modes.. . Implement secure, scalable data storage solutions such as warehouses and databases.. . Develop validation and testing processes to ensure data accuracy and reliability.. . Automate data collection, processing, and reporting workflows to improve efficiency.. . Produce high-quality documentation, including requirements, solution designs, and technical specifications.. . Support pre-sales activities by contributing to solution architecture and proposals.. . Create reusable technical assets and participate in knowledge sharing across the team.. . Maintain up-to-date certifications and technical expertise in leading cloud technologies.. . Collaborate with marketing to produce content promoting the data engineering practice.. . . Bachelor’s degree in Computer Science, Information Technology, or related field.. . 5–9 years of experience in data engineering, database architecture, or data management.. . Strong understanding of relational databases, SQL, and data integration techniques.. . Proven experience working with multiple data sources (structured and unstructured) in both batch and streaming environments.. . Expertise with cloud platforms such as AWS, GCP, or Azure.. . Hands-on experience with ETL tools or cloud equivalents (Azure Data Factory, AWS Glue, dbt, Matillion, etc.).. . Proficiency with data warehousing solutions like Snowflake, Redshift, BigQuery, or Azure Synapse.. . Experience with visualization tools such as Power BI, Tableau, Looker, or QuickSight.. . Familiarity with Docker, Kubernetes, and at least one programming language (Python, Java, or Scala).. . Excellent problem-solving, communication, and collaboration skills.. . Bonus: Certifications in cloud/data technologies, experience with AI/ML integration, or legacy systems like Hadoop.. . Company Location: India.