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Data Engineer - Data & Performance

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Cigres

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Location:
India , Bengaluru

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This is a strong technology and solution delivery role, accountable for the successful design, development, and delivery of Data Engineer solutions on the corporate Data Platform. The duties and responsibilities of this job are to prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications. It requires to work with current technologies used by IntelDS and in particular Spark, Presto, Hive and RedShift on AWS environment.

Job Responsibility:

  • Accountable for the successful design, development, and delivery of Data Engineer solutions on the corporate Data Platform
  • Prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications
  • Work with Spark, Presto, Hive and RedShift on AWS environment
  • Responsible for the delivery of the development activities including Data Engineering standards, patterns and best practices
  • Work with team to ensure standards and patterns are followed
  • Determines organizational strategies for data integrity validation processes
  • Design and develop new data ingestion patterns into raw and/or unified data layers
  • Automate data pipelines
  • Participate to and apply DevSecOps practices by automating the integration and delivery of data pipelines in a cloud environment
  • Analyze existing data models, identify and implement performance optimizations for data ingestion and data consumption
  • Support client applications in connecting and consuming data from the platform
  • Participate in the monitoring of the platform and debugging of detected issues and bugs
  • Partner with the Data modelers to drive improvements and enhancements to the current data landscape and future strategy
  • Identify opportunities for uses of technologies to enhance current or anticipated information systems and business goals needs
  • Evaluates existing applications that could address client requirements and makes recommendations from complex projects
  • Assists in the development of Data Engineering-related Service Level Agreements
  • Communicates risks and ensures understanding of these risks

Requirements:

  • B.E / B TECH/MASTERS IN COMPUTER SCIENCE, ELECTRONICS, RELEVANT TECHNICAL CERTIFICATION
  • 12 years of experience in modeling and business system designs
  • 10 years hands on experience as Data Engineer/Architect with proven experience on Big Data and Data Lakes on AWS
  • 7 years of experience in SQL, Python, PROC, Windows Functions, GitHub, CICD, AWS: S3, RedShift/Spectrum, Glue, Athena, Cloudwatch, Orchestration: Apache Airflow, ELT tool : DBT, Big Data: Spark, Presto
  • Strong in SQL query writing and procedures
  • Proven experience with STAR and SNOWFLAKE schema techniques
  • Proven track record as a Data Engineer in delivering successful business intelligence developments with complex data sources
  • Strong analytical skills
  • Solid presentation, communication and inter-personal skills
  • Ability to work effectively with globally dispersed stakeholders
  • Ability to manage multiple priorities in a fast-paced environment
  • A data-driven mindset
  • Ability to clearly communicate complex business problems and technical solutions
  • Ability to manage and make decisions about competing priorities and resources
  • Ability to delegate where appropriate
  • Must be a strong team player/leader

Nice to have:

  • Unix basics/scripting
  • Apache Iceberg
  • Experience in Informatica ETL development

Additional Information:

Job Posted:
January 07, 2026

Employment Type:
Fulltime
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