Data Engineer
Work Mode: Remote
Experience: 5+ Years
Job Type: Full-time
Job Overview
We are seeking an experienced Data Engineer with 5+ years of expertise in designing, developing, and maintaining scalable data pipelines and enterprise data solutions. The ideal candidate will have strong experience in ETL/ELT development, data integration, and cloud-based data platforms, while supporting advanced analytics and business intelligence initiatives.
Key Responsibilities
- Design, develop, and maintain ETL/ELT pipelines for enterprise data processing and analytics.
- Build and optimize data ingestion, transformation, and integration workflows across multiple data sources.
- Support data engineering operations for reporting, analytics, and business intelligence.
- Collaborate with business and analytics teams to understand data requirements and deliver scalable solutions.
- Develop and maintain data models to support reporting and analytics.
- Ensure data quality, reliability, and performance of data pipelines and datasets.
- Monitor, troubleshoot, and optimize production and non-production environments.
- Work with modern data engineering tools to enhance data exploration and productivity.
- Continuously improve data architecture, workflows, and engineering best practices.
- Validate data outputs to ensure accuracy and consistency.
Required Skills
- 5+ years of experience in Data Engineering and ETL/ELT development.
- Strong proficiency in SQL and relational databases.
- Hands-on experience with Python or Scala.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Experience with modern data warehouses like Snowflake, Redshift, BigQuery, or Azure Synapse.
- Knowledge of Apache Airflow or similar workflow orchestration tools.
- Strong understanding of data modeling, data governance, and data quality.
- Familiarity with Git and version control practices.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with Apache Spark, Databricks, or other big data technologies.
- Exposure to enterprise analytics and AI-enabled data solutions.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Pay: ₹510,010.52 - ₹1,868,185.30 per year
Work Location: Remote
