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Senior Data Engineer

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Valtech

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+YEARS of experience, a growth mindset and a drive to make a lasting impact.

Job Responsibility:

  • Design and implement robust, scalable data architectures and pipelines
  • Build and maintain ETL/ELT processes for batch and real-time data processing
  • Develop data models and schemas optimized for analytics and reporting
  • Ensure data quality, consistency, and reliability across all data systems
  • Work with multiple cloud platforms (AWS, Azure, GCP) based on client requirements
  • Implement data solutions using various technologies and frameworks
  • Adapt quickly to new tools and platforms as project needs evolve
  • Maintain expertise across different cloud ecosystems and services
  • Create automated data ingestion pipelines from various sources (APIs, databases, files, streaming)
  • Implement data transformation logic using modern data processing frameworks
  • Build monitoring and alerting systems for data pipeline health
  • Optimize pipeline performance and cost-efficiency
  • Work closely with data scientists, analysts, and business stakeholders
  • Collaborate with DevOps teams to implement CI/CD for data pipelines
  • Partner with client teams to understand data requirements and deliver solutions
  • Participate in architecture reviews and technical decision-making

Requirements:

  • Minimum 3+ years of experience in data engineering or related field
  • Strong programming skills in Python and/or Scala/Java
  • Experience with SQL and database technologies (PostgreSQL, MySQL, MongoDB)
  • Hands-on experience with data processing frameworks: Apache Spark, Hadoop ecosystem
  • Apache Kafka for streaming data
  • Apache Airflow or similar workflow orchestration tools
  • Knowledge of data warehouse concepts and technologies
  • Experience with containerization (Docker, Kubernetes)
  • Understanding of data modeling principles and best practices
  • Experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Familiarity with cloud-native data services: Data lakes, data warehouses, and analytics services
  • Serverless computing and event-driven architectures
  • Identity and access management for data systems
  • Knowledge of Infrastructure as Code (Terraform, CloudFormation, ARM templates)
  • Understanding of data governance and security principles
  • Experience with data quality frameworks and monitoring
  • Knowledge of dimensional modeling and data warehouse design
  • Familiarity with business intelligence and analytics tools
  • Understanding of data privacy regulations (GDPR, CCPA)

Nice to have:

  • Experience with modern data stack tools (dbt, Fivetran, Snowflake, Databricks)
  • Knowledge of machine learning pipelines and MLOps practices
  • Experience with event-driven architectures and microservices
  • Familiarity with data mesh and data fabric concepts
  • Experience with graph databases (Neo4j, Amazon Neptune)
  • Experience in digital agency or consulting environment
  • Background in financial services, e-commerce, retail, or customer experience platforms
  • Knowledge of marketing technology and customer data platforms
  • Experience with real-time analytics and personalization systems
  • Strong problem-solving and analytical thinking abilities
  • Excellent communication skills for client-facing interactions
  • Ability to work independently and manage multiple projects
  • Adaptability to rapidly changing technology landscape
  • Experience mentoring junior team members
What we offer:
  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts

Additional Information:

Job Posted:
May 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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