Azure Data Engineer

Overview

On Site
$60,000 - $80,000
Full Time

Skills

Azure
ADF
SQL & Python
Azure Databricks
Azure Blob Storage
Azure Data Lake & Azure Synapse Analytics
Data Integration & ETL
Big Data & Spark
SQL
Python
Numpy & Pandas
Azure Monitor

Job Details

.Key Skills:
Technical Skills:
    • Programming and Scripting Languages:
      Proficiency in SQL, Python, and Java are crucial for data manipulation, transformation, and building data pipelines.
  • Data Pipeline Development:
    Understanding and experience with building and managing data pipelines using Azure Data Factory, Azure Databricks, and other relevant tools.
  • Data Storage:
    Knowledge of Azure Blob Storage, Azure Data Lake Storage, and Azure Synapse Analytics.
  • Data Integration and ETL Tools:
    Experience with ETL (Extract, Transform, Load) processes and tools like Azure Data Factory and Azure Databricks.
  • Big Data Technologies:
    Familiarity with Hadoop, Spark, and related technologies.
  • Cloud Platform Skills:
    A strong understanding of Azure cloud services and their application in data engineering.
  • Database Administration Skills:
    Knowledge of relational databases (like SQL Server) and other data storage technologies.
- :- Joins, CTEs, Window Functions, Indexing
- :- Pandas, NumPy, Error Handling, Logging
- :- DataFrames, RDDs, Transformations
.
- :- Blob Storage, ADLS Gen2
- :- Secrets Management, Access Control
- :- Data Warehousing, Dataflows
.
- :- ETL Pipelines, Data Flows
- :- Spark Clusters, Delta Lake, Notebooks
- :- Serverless SQL Pool, Dedicated SQL Pool
- Star Schema, Snowflake Schema, Slowly Changing Dimensions
- Data Partitioning Strategies
- Data Governance with Purview
- Azure Monitor & Log Analytics
- Performance Tuning in Synapse and Databricks
- Cost Management Strategies
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