Data Engineer
Posted
Summary
Data Engineer at SyroNexa (India) who designs, builds, and maintains scalable ETL/ELT pipelines, data warehouses, and cloud data infrastructure to power analytics and BI. Core stack includes SQL, Python/Java/Scala, cloud platforms (AWS/Azure/GCP), and big data tools like Spark, Kafka, and Databricks.
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.
- Strong 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.
- Experience supporting machine learning or advanced analytics workloads.