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We are seeking a highly experienced Senior Data Engineer with 8 years of experience in implementing Azure Data Factory, including knowledge of Databricks. You will be responsible for working on pipelines, data ingestion frameworks, and data transformation frameworks within the Azure platform. This role requires expertise in Big Data, Cloud technologies, Snowflake, and Data Lake concepts, along with strong collaboration skills to deliver solutions and take technical responsibility for upgrade remediations.
Roles & Responsibilities:
Skills Required:
QUALIFICATION:
Our services deliver a total solution package designed to meet our clients' complete business and technology needs.
With recognized technology and industry expertise, our dedicated professionals focus on understanding clients' competitive challenges and implementing the right solutions to achieve their strategic objectives. At APEX, we strive to build long-term, committed partnerships with our clients, helping them every step of the way on their path to success. APEX approaches every engagement with one objective in mind - to help our client win and grow.
Job ID: 122964781
Skills:
Data Modelling, Unix Scripting, Big Data, Cloud Technologies, Redshift, Sql, MySQL, Data Architecture, Ab Initio, Oracle, Etl, Software Version Control
Skills:
snowflake , Aws Lambda, Pyspark, Azure Databricks, Sql, Azure Data Factory, Azure Functions, Python, Azure DevOps, DLT, Delta Live Tables, Unity Catalog, GitHub Actions, Delta Lake, Azure Event Hubs, AWS Kinesis
Skills:
Azure Data Factory, Data Modelling, Azure Synapse Analytics, Azure Data Lake, Python, Sql, DataOps, CI CD pipelines, Microsoft Fabric
Skills:
data engineering , snowflake , Pyspark, Scala, PostgreSQL, Kafka, Microsoft Sql Server, Bash, Kotlin, Redshift, Numpy, Pandas, Gcp, Kinesis, Linux, MySQL, Databricks, Azure, Python, AWS, Go, Dask
Skills:
data engineering , snowflake , Data Management, Hadoop, Performance Tuning, Dimensional Modeling, Data Modeling, Redshift, Sql, Data Quality, Hive, Spark, Data Integration, Python, Airflow, big data systems, data warehouse scaling, ETL pipelines