Remote Senior Data Engineer (Remote - India)

Description:

• 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.
• 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.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field is required.
• 5–9 years of experience in data engineering, database architecture, or data management is required.
• Strong understanding of relational databases, SQL, and data integration techniques is required.
• Proven experience working with multiple data sources (structured and unstructured) in both batch and streaming environments is required.
• Expertise with cloud platforms such as AWS, GCP, or Azure is required.
• Hands-on experience with ETL tools or cloud equivalents (Azure Data Factory, AWS Glue, dbt, Matillion, etc.) is required.
• Proficiency with data warehousing solutions like Snowflake, Redshift, BigQuery, or Azure Synapse is required.
• Experience with visualization tools such as Power BI, Tableau, Looker, or QuickSight is required.
• Familiarity with Docker, Kubernetes, and at least one programming language (Python, Java, or Scala) is required.
• Excellent problem-solving, communication, and collaboration skills are required.
• Bonus: Certifications in cloud/data technologies, experience with AI/ML integration, or legacy systems like Hadoop are preferred.

Benefits:

• Competitive salary and performance-based incentives are offered.
• The position provides a fully remote-first work environment with flexible schedules.
• Comprehensive healthcare, dental, and vision coverage is included.
• Retirement plans with company contributions are available.
• Generous paid time off and leave allowances are provided.
• Professional growth opportunities with ongoing training and certifications are available.
• The company promotes an inclusive, collaborative culture that values diversity and innovation.