Data Engineer

Actively Reviewing the Applications

Scoutit

India, Karnataka, Bengaluru Full-Time On-site

Posted 3 weeks ago • Apply by June 15, 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: analytics,automation,data