The Role
Build and maintain scalable ETL/ELT pipelines and data platforms using Databricks, PySpark, Python, and SQL. Integrate data into lakes and warehouses, implement data quality and error handling, optimize and monitor pipeline performance, and collaborate with engineering, architecture, and business teams. Apply cloud, Git, CI/CD, and deployment best practices.
Summary Generated by Built In
ETL Data / Platform Engineer
Experience: 4–8 Years
Job SummaryWe are looking for an experienced ETL Data / Platform Engineer with strong hands-on experience in Databricks to build and maintain scalable data pipelines and data platforms.
Key Responsibilities- Develop and maintain ETL/ELT data pipelines using Databricks.
- Work with PySpark, Python, and SQL for data processing and transformation.
- Integrate data from multiple sources into data lakes and data warehouses.
- Develop, optimize, and monitor data pipelines.
- Implement data quality checks, error handling, and performance optimization.
- Work with cloud platforms such as Azure, AWS, or GCP.
- Collaborate with data engineers, architects, and business teams.
- Follow Git, CI/CD, and deployment best practices.
- 4–8 years of experience in Data Engineering / ETL.
- Strong hands-on experience with Databricks – Mandatory.
- Good experience in PySpark, Python, and SQL.
- Strong knowledge of ETL/ELT concepts and data pipelines.
- Experience with Data Lake / Data Warehouse.
- Experience with Azure, AWS, or GCP.
- Good understanding of data integration, data modeling, and data quality.
- Experience with Azure Data Factory / AWS Glue.
- Knowledge of Delta Lake.
- Experience with Apache Spark / Kafka.
- Experience with Airflow.
- Knowledge of CI/CD and DevOps.
Skills Required
- 4–8 years of experience in data engineering or ETL
- Strong hands-on experience with Databricks
- Experience with PySpark, Python, and SQL
- Strong knowledge of ETL/ELT concepts and data pipelines
- Experience with data lakes and data warehouses
- Experience with Azure, AWS, or GCP
- Understanding of data integration, data modeling, and data quality
- Experience with Azure Data Factory or AWS Glue
- Knowledge of Delta Lake
- Experience with Apache Spark or Kafka
- Experience with Airflow
- Knowledge of CI/CD and DevOps
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The Company
What We Do
Winfo Solutions is an AI innovation-led digital transformation company that helps organizations modernize operations, accelerate growth, and unlock value from data, automation, cloud, and enterprise technologies. It delivers Oracle transformation, AI-powered innovation, intelligent automation, data engineering, analytics, business intelligence, cloud modernization, managed services, and custom application development for global enterprises across industries seeking stronger business outcomes and modernized technology environments.
