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L3 data engineer

India, Bengaluru · Job Posted July 13, 2026
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Job Responsibility

  • Develop piplines using the standard patterns for data pipelines and workflows utilizing Streamsets, Kestra, dbt, Git
  • Design and Implement data storage and processing solutions employing Snowflake
  • Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to: Lambda,ECS,MSK,RDS,EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge
  • Utilize Terraform for AWS and Azure deployments
  • Leverage and integrate APIs for data access and manipulation
  • Write Python scripts for data common processing and automation tasks
  • Leverage Platform API's and Web Applications to enforce Platform Security
  • Development experience with Go, SQL, C#, .net, JavaScript, shell scripts & container platforms like Docker
  • The engineer shall have experience integrating with timeseries source systems: Honeywell Plant Historian Database, OSI Pi
  • The engineer shall have experience in Authentication mechanisms including but not limited to (OAuth 2.0, OIDC, Microsoft Entra, Key Pair Authentication, Certificate based authentication, SAML based SSO)
  • Create and execute comprehensive test plans to ensure the pipelines functionality and performance
  • Develop unit tests, integration tests, and end-to-end tests for data pipelines and workflows
  • Ensure data accuracy and consistency through rigorous testing processes
  • Leverage automated testing processes to enhance efficiency
  • Monitor and manage the platform to ensure optimal performance and uptime
  • Conduct regular maintenance tasks such as updates, patches, and backups
  • Resolve any issues or incidents related to the platform in a timely manner
  • Continuously improve platform operations through automation and optimization
  • Strong experience with Windows & Unix like operating systems
  • Implement security best practices throughout the pipeline development and deployment process
  • Conduct regular security reviews and vulnerability assessments
  • Ensure data encryption, access control, and other security measures are enforced
  • Use credential management platforms like Thycotic Secret Server, AWS Secrets Manager
  • Assist in troubleshooting and resolving intricate technical issues

Requirements

  • 10yrs Data Engineering/Data Analyst experience
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics
  • Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis
  • Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development
  • Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing
  • Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data
  • Understanding of data quality principles, data governance, and data validation processes
  • Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making
  • Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions
  • Familiarity with project management methodologies to contribute effectively to project planning and execution
  • Strong verbal and written communication skills to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
  • Willingness to stay updated with the latest data technologies, tools, and industry trends to enhance data engineering skills
  • Prior experience in data engineering, data analytics, or related roles with a track record of successful data project delivery
  • Ability to make informed, strategic decisions that align technology with business objectives, while balancing short-term and long-term trade-offs
  • Deep understanding of customer needs and how to translate them into effective technical solutions that drive business value
  • Encourages collaboration across teams and stakeholders, breaking down silos and ensuring alignment
  • Strong analytical and problem-solving skills, capable of addressing complex technical challenges and delivering innovative solutions
  • Ability to lead innovation in technology while maintaining an eye on product-market fit and user experience
  • Adaptability in a fast-moving environment, with a mindset focused on delivering high-impact solutions quickly and iteratively

What we offer

  • Commitment to your ongoing development, including on the job opportunities and formal programs
  • Inclusive parental leave entitlements for both parents
  • Flexible work options
  • Generous annual leave, sick leave and casual leave
  • Cultural and religious leave with flexible public holiday opportunities
  • A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

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