Senior Data Engineer (Remote - India)

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.

• Competitive salary and performance-based incentives.
• Fully remote-first work environment with flexible schedules.
• Comprehensive healthcare, dental, and vision coverage.
• Retirement plans with company contributions.
• Generous paid time off and leave allowances.
• Professional growth opportunities with ongoing training and certifications.
• Inclusive, collaborative culture that values diversity and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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