Data Engineer
- Posted 17 hours ago
- Be among the first 10 applicants
Job Description
Primary Skills:
- Python
- SQL
- Databricks
- Power BI
Job Description:
- Build and maintain scalable ETL pipelines in Databricks to process and transform large datasets from multiple sources.
- Write optimized SQL queries to prepare datasets for analytics and reporting.
- Collaborate with analysts and business stakeholders to understand reporting needs and translate them into technical solutions.
- Develop and automate analytics reports and dashboards using tools such as Power BI, Tableau, or Looker.
- Implement data quality checks and monitoring to ensure accuracy and reliability.
- Optimize data models for performance and scalability in cloud environments such as Azure or AWS.
- Document data flows, transformations, and reporting logic for transparency and maintainability.
- Print domain experience would be an added advantage.
Please support with relevant profiles aligned to the above requirement and budget.
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About Company
Skills:
Power Bi, Data Governance, Tableau, Sql, Apache Airflow, Data Modelling, Azure, Python, AWS, SHIP-HATS, ELT pipelines, dbt, Delta Lake, IM8 compliance standards
Skills:
Data as a Service (DaaS), Java, C++, Big Data Technologies, Python, Iceberg, Doris, Linux shell development, Go, Flink
Skills:
snowflake , Kafka, Apache Airflow, Docker, Flask, Python, AWS, BigQuery, Redshift, Sql, Git, Pandas, Spark Streaming, Gcp, Reactjs, FastAPI, Azure, Kubernetes, scikit-learn, MLflow, Luigi, TFX, NoSQL databases, Graph database, Seldon, CI/CD pipelines
Skills:
Power Bi, Pyspark, Azure Databricks, Azure Sql, Sql, ELT, Git, Azure Data Factory, Azure Data Lake, Data Modelling, Python, Azure DevOps, Etl, CI/CD, Lakehouse architecture, Data pipelines, Microsoft Fabric, Medallion architecture
Skills:
Data Warehousing Concepts, Aws Redshift, Aws S3, AWS Glue, Pentaho Data Integration, Python, Database Tuning, Apache Kafka, ETL tuning, NoSQL DBs, AI tools