Senior Data Engineer

1 day ago

Vadodara, India Ironbook AI Full time

Role SummaryWe are looking for a Senior Data Engineer to design, build, and optimize high-performance data pipelines and data systems. The ideal candidate will have strong experience with cloud platforms, modern ETL/ELT tools, and deep technical skills in Python, SQL, and distributed data frameworks.Key Responsibilities- Design, develop, and maintain scalable and reliable ETL/ELT pipelines.- Build data models, data marts, and data warehouses to support analytics and reporting needs.- Work with large-scale structured and unstructured datasets across multiple sources.- Implement data quality, validation, and monitoring frameworks.- Optimize existing pipelines for better performance, cost efficiency, and maintainability.- Collaborate with Data Science, BI, Product, and Engineering teams to gather and implement data requirements.- Write optimized SQL queries and well-structured, maintainable Python code.- Support production pipelines by troubleshooting issues and performing root cause analysis.- Use version control, CI/CD, and automated deployment tools for data engineering tasks.- Ensure compliance with data security, privacy, and governance standards.Required Skills & Experience- 5+ years of hands-on experience in Data Engineering.- Strong programming skills in Python and SQL.- Experience with ETL frameworks (Airflow, dbt, Spark, Glue, Dataflow, etc.).- Expertise in cloud data platforms (AWS, Azure, or GCP).- Strong understanding of data modelling and data warehouse/lakehouse architectures.- Experience working with big data tools (Spark, Kafka, Hadoop) is a plus.- Experience with source control (Git) and CI/CD pipelines.- Good problem-solving skills and ability to work in cross-functional teams.Preferred / Nice-to-Have Skills- Experience with Snowflake, Redshift, BigQuery, Databricks, or Synapse.- Exposure to event-driven or real-time data streaming architectures.- Experience integrating with ML pipelines or supporting Data Science workloads.- Familiarity with containerization (Docker, Kubernetes).

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