Position: Data Engineer
Expertise :
Azure Data Factory - 2 years
Azure DataBricks - 2 years
PySpark - 2 years
Power BI - 2 years
SQL Server Integration Services (SSIS) - 2 years
Time Division Duplex - (TDD) - 2 years
SQL - 2 years
Description
What we’re looking for
- We’re looking to hire data engineers. People who are proud of the way they work and the code they write.
- People who believe in and are evangelists of eXtreme Programming principles. Motivated and passionate
- People who make great teams. We heavily believe in being a DevOps organization, where engineers own the entire release cycle and thus work not only on the solution, but also on all stages of the SDLC process from requirements to deployment in a cross-functional team.
What you’ll be doing
- You’ll be working on the data architecture, building ETL pipelines, and on cloud migration strategies. You’ll be writing self-explanatory, clean code. Your code will produce the same, predictable results, over and overagain. You’ll be making frequent, small releases. You’ll be working in pairs. You’ll be doing peer code reviews.
- You will be responsible for all aspects of development – from understanding requirements, writing stories, and analyzing the technica approach to writing test cases where possible, development, deployment, and fixes.
- You will own the entire stack and take complete ownership of the solution. And, most importantly, you’ll be making a pledge that you’ll never stop learning!
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
Self-Learner: You must be extremely hands-on 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 end-to-end 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 BI/DW/Datalake Architecture, design & ETL
Strong in Requirement Analysis, Data Analysis, and Data Modeling capabilities
Experience in object-oriented 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 configuration/deployment
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
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