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Sr.Data Engineer
R
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Job Description
Job Description
Roles & Responsibilities, Mandatory: JD.
- 4-6 years of professional work experience in a relevant field.
- Good experience and hands-on with Azure Databricks, ADF, delta lake..
- Experience/ prior knowledge on semi structure data and steaming, Azure synapse analytics, data lake, data warehouse. .
- Hands on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, SQL, Python, cosmos db..
- Proficient in creating Azure Data Factory pipelines for ETL processing copy activity, custom Azure development etc.. knowledge on Power bi would be beneficial..
- Understand business requirements to set functional specifications for reporting applications
Additional Information: Skill set:
- Azure Databricks , ADF, SQL, ETL (Data engineering)Good to have skills :Certification in Azure
Qualifications
BE
Additional Information
5-8
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Key Skills
About Company
Skills:
data engineering , Azure Data Factory, Power Bi, Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Data Warehouse, Cosmos DB, Sql, Python, Etl
Skills:
snowflake , Streaming, Apache Spark, Data Integration, Data Quality, Git, Docker, Apache Kafka, Databricks, Data Warehousing, Python, Kubernetes, Etl, Process Orchestration
Skills:
S3, Pyspark, Lambda, Ec2, Ldp, Python, Star Schema, Redshift, Sql, Powerbi, Databricks, Etl, Airflow, Lakeflow Jobs, Fact Dimensions, GEnie, SCD Types, GenAI exposure, Kiro, GenBI, AWS Cloud Services, Erwin tool, AecorSoft DataSphere, Bronze Silver Gold Databricks Medallion Architecture, Dimensional modelling, Lakeflow, Glue, Gemini, Connect Notebooks
Skills:
Hive, Java, Python, Hadoop, Scala, Kafka, Spark, Apache DolphinScheduler, Flink
Skills:
AWS, Nodejs, Sql, Java, Dynamodb, Python, Nosql, Lambda, Ec2, Scala, Elastic Search