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Data Engineer

Actively Reviewing the Applications

Scoutit

India, Karnataka Full-Time On-site
Posted 11 hours ago Apply by June 14, 2026

Job Description

We're looking for Data Engineers!

Responsibilities

  • Work with analytics teams to ensure data is clean, structured, and accessible for analysis and reporting
  • Implement data quality and governance frameworks to ensure data integrity across the organization
  • Contribute to data exploration and analysis projects by delivering robust, reusable data pipelines that support deep data analysis
  • Design, implement, and optimize scalable data architectures, including data lakes, data warehouses, and real-time streaming solutions
  • Develop and maintain ETL/ELT pipelines to ensure efficient data flow from multiple sources
  • Leverage automation to streamline data ingestion, processing, and integration tasks
  • Develop and maintain scripts for data automation and orchestration, ensuring timely and accurate delivery of data products
  • Work closely with DevOps and Cloud teams to ensure data infrastructure is secure, reliable, and scalable

Qualifications

  • Proficient in building and maintaining ETL/ELT processes using tools such as Apache Airflow, DBT, Talend, or custom scripts in Python, SQL, NoSQL etc
  • Analytics: Strong understanding of data analytics concepts, with experience in creating data models and working closely with BI/Analytics teams
  • Automation: Familiarity with data automation tools (eg, Apache Airflow, Prefect) and scripting (Python, Shell, etc) to automate data workflows
  • Data Architecture: Proficiency in designing and maintaining data lakes, warehouses, and real-time streaming architectures using technologies like AWS/GCP/Azure, Hadoop, Spark, Kafka, etc
  • Soft Skills:Excellent problem-solving skills and ability to work independently and as part of a team
  • Ability to collaborate cross-functionally with analytics, business intelligence, and product teams
  • Strong communication skills with the ability to translate complex technical concepts for non-technical stakeholders
  • Attention to detail and commitment to data quality and governance

(*Note: This is a requirement for one of Scout's clients)

Skills: data,analytics,automation
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