15 years
0 Lacs
Posted:2 days ago|
Platform:
On-site
Contractual
· Data Engineering with Extract Transform Load (ETL) processes and
· Azure Data Warehousing, ADF, ADF Workflows, Databricks, PySpark, Python and SQL.
· Experience with Microsoft Data Analytics tools and technologies is a plus
· Excellent problem-solving skills and attention to detail
· Good communication skills to co-ordinate with the client and team
· Seasoned Data Engineer who has command over Python, SQL, and ETL process.
· Experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
· Strong proficiency in data analysis, manipulation, and
· Statistical modelling using tools like Spark, Python, Scala, SQL, or similar languages.
· Experience in different data formats (Parquet is a plus), managing large datasets.
· Experience with Delta Lake is a plus.
· Strong knowledge of Spark for performance optimization.
· Experience in Azure cloud stack Production environment.
· Experience in building and optimizing Big Data pipelines, architectures, and datasets.
· Advanced working knowledge and experience with relational and non-relational databases.
· Strong analytic skills related to working with structured and unstructured datasets.
· Azure DevOps experience to deploy the data pipelines through CI/CD.
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