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Data Engineer_Swathi_Quess Corp

CodersBrain

Roles & Responsibilities

  • Proficiency in SQL, Databricks, Scala/Pyspark, Azure Data Factory, and Test Driven Development.
  • Experience in creating end-to-end data pipelines and working with Azure Data Lake and Azure SQL Data Warehouse.
  • Strong understanding of BI, Data Warehouse, Data Lake architecture, and ETL processes.
  • Hands-on experience with data modeling, requirement analysis, and software engineering best practices.

Requirements:

  • Design and implement data pipelines using Azure Data Factory and Databricks.
  • Develop and optimize complex SQL queries and data models.
  • Collaborate in an Agile environment to deliver high-quality data solutions.
  • Ensure data security, integrity, and performance tuning of databases.

Job description

Skills you need to succeed in this role
Most Important: Integrity of character, diligence, and the commitment to do your
best
Must Have: SQL, Databricks, (Scala Pyspark), Azure Data Factory, Test Driven
Development
Nice to Have: SSIS, Power BI, Kafka, Data Modeling, Data Warehousing
 SelfLearner: You must be extremely handson and obsessive about
implementing engineering best practices in your solutions
 Sense of Ownership: Do whatever it takes to implement the highest
quality solution in the most pragmatic manner
 Experience in creating endtoend data pipelines
 Experience in Azure Data Factory (ADF) creating multiple pipelines
and activities for full and incremental data loads into Azure Data
Lake Store and Azure SQL DW
 Working experience in Databricks
 Strong in BIDWDatalake Architecture, design & ETL
 Strong in Requirement Analysis, Data Analysis, and Data Modeling capabilities
 Experience in objectoriented programming, data structures, algorithms,
and software engineering methodologies
 Experience working in Agile and eXtreme Programming methodologies in
a continuous deployment environment
 Interest in mastering technologies like relational DBMS, TDD, CI tools like
Azure DevOps, complexity analysis, and performance optimization
 Working knowledge of server configurationdeployment
 Experience using source control and bug tracking systems, writing
user stories and technical documentation
 Strong in Requirement Analysis, Data Analysis, and Data Modeling capabilities
 Expertise in creating tables, procedures, functions, triggers, indexes, views,
joins, and optimization of complex queries
 Experience with database versioning, backups, restores, and migration
 Expertise in data security and integrity
 Ability to perform database performance tuning queries

Notice period: Immediate joiner 15 days
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