Data Engineer
Actively Reviewing the ApplicationsScoutit
India, Karnataka
Full-Time
On-site
Posted 11 hours ago
•
Apply by June 14, 2026
Job Description
We're looking for Data Engineers!
Responsibilities
Skills: data,analytics,automation
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
- 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
Skills: data,analytics,automation
Required Skills
Communication
Attention to Detail
Data Analysis
Reporting
Automation
Python
SQL
AWS
Hadoop
Spark
Kafka
Architecture
Azure
Airflow
ETL
Talend
Data Analytics
NoSQL
DevOps
Business Intelligence
Apache
Analytics
Data quality
Data flow
Governance
Data architecture
Apache Airflow
DBT
Data Analytics concepts
Scripting
Flow
Orchestration
Data products
Data models
Data ingestion
Ingestion
Data automation
Data integrity
Data Exploration
Data pipelines
Exploration
Shell
ELT
Analysis Design
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