Data Engineer
Job Description
- Understanding complete business know hows by means of data.
- Develop analytics data solutions/data products for org growth.
- Provide end to end data solutions for complex business problems.
- Develop data products and advocate for wider masses.
- Deliver on predictive and prescriptive modelling.
- Working on Business data models.
- Have experience on Data warehousing and Data marts.
- Have experience in Teradata, Oracle, MPP databases.
- Have exposure to Azure. Azure Databricks.
- Worked to solve business problems and should have worked with Product owners to develop business insights.
- Minimum experience of 4 years. 3-4 years into Data Warehousing/BI engineering.
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Key Skills
About Company
Skills:
Power Bi, Microsoft Sql Server, Azure Databricks, Data Modeling, Sql, Azure Data Factory, Azure Synapse Analytics, Spark, Reporting Tools, Python, Microsoft Azure data platform, data pipelines, ER modelling, Azure Analysis Services
Skills:
snowflake , Informatica, Data Warehousing, Redshift, Databricks, Talend, Python, Etl, Aws S3, Airflow, AWS EMR, Luigi, Business intelligence, Azkaban, Athena
Skills:
Azure Data Lake Storage (ADLS), Pyspark, Apache Spark, Python, Sql, Git, Azure Data Factory, Power Bi, Azure Synapse Analytics, Databricks, Azure DevOps, Fabric Lakehouse, OneLake, Delta Lake, Fabric Data Factory Data Pipelines, Microsoft Fabric, Microsoft Purview, ETL ELT concepts, Real-time streaming data, CI CD
Skills:
snowflake , Query Optimization, Data Modeling, Snaplogic, Data Warehousing, Python, Sql, Etl, ELT, Performance Tuning, Control-M
Skills:
Data Governance, Data Warehousing Concepts, Data Architecture, Sql, Git, AWS, Snowflake architecture, ETL concepts, Data security practices, Snowflake SQL, Data modeling concepts, Data quality standards