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We at Value momentum Looking for Senior Bricks Data Engineer. With strong Experience in Data Bricks, Azure Data Factory, SQL, Py spark, Delta Live Tables. Immediate to 30 Days Joiners Immediate joiners are Highly Preferred.
Skills Required: Data Bricks, Azure Data Factory, Pyspark, SQL, Delta Live Tables
Role Overview:
You will be responsible for designing and developing scalable data pipelines using Azure Databricks, Data Factory, and Data Lake, along with building ETL solutions and enabling data-driven insights.
Design and develop ETL pipelines using ADF for data ingestion and transformation.
Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.
Write SQL, Python, and PySpark code for efficient data processing and transformation.
experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.
Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.
Experience in SQL, Python, and PySpark for data transformation and processing. Familiarity with DevOps and CI/CD
Regards,
Anil Kumar
[Confidential Information]
Job ID: 153651091
Skills:
Big Data Technologies, Data Warehousing, Dataproc, Python Programming, Google Cloud Platform GCP, Cloud Composer, SQL PostgreSQL, Cloud Pub Sub, ETL Development Data Pipelines, Large Dataset Processing
Skills:
Azure Data Factory, Scala, Azure Databricks, Python, Sql, Palantir
Skills:
snowflake , Aws Lambda, Amazon Redshift, Amazon S3, Pyspark, AWS Glue, Data Warehousing, Python, Etl, ELT, Scalable Data Pipelines
Skills:
Spark SQL, Pyspark, Azure Databricks, Json, Azure Data Lake, Xml, Etl, Azure Blob Storage, Medallion Architecture, Azure SQL Database, Delta Live Tables, Autoloader
Skills:
data engineering , Java, S3, Data Modeling, Etl Development, Scala, Nodejs, Emr, Redshift, Sql, Lambda, Kinesis, Iam, Data Warehousing, Python, Airflow, AWS Step Functions, NoSQL databases, AWS technologies, Glue, Firehose