Job Summary
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure that support business intelligence, analytics, and data-driven decision-making. The ideal candidate will have experience working with large datasets, cloud platforms, and modern data technologies to ensure efficient data collection, storage, and processing.
Responsibilities
Design, build, and maintain scalable ETL/ELT data pipelines.
Develop and optimize data models, databases, and data warehouses.
Integrate data from multiple sources and ensure data quality and consistency.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Monitor, troubleshoot, and improve data pipeline performance and reliability.
Implement data governance, security, and compliance standards.
Manage cloud-based data solutions and storage systems.
Automate data processing workflows and reporting solutions.
Create and maintain technical documentation for data architecture and processes.




Support real-time and batch data processing initiatives.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
3+ years of experience in data engineering or a related role.
Strong proficiency in SQL and database technologies.
Experience with Python, Java, or Scala.
Hands-on experience with ETL/ELT tools and data integration frameworks.
Knowledge of data warehousing concepts and dimensional modeling.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with big data technologies such as Apache Spark, Hadoop, Kafka, or Databricks.
Understanding of data governance, security, and best practices.
Solid analytical and problem-solving skills.
Preferred Qualifications
Experience with Snowflake, Redshift, BigQuery, or Synapse Analytics.
Knowledge of orchestration tools such as Airflow or Prefect.
Relevant cloud or data engineering certifications.
Exper

📌 Data Engineer (India)
🏢 SyroNexa
📍 India