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Pyspark Developer TECHM-JOB-31151
Position :- Pyspark Developer
Location :- Michigan – Dearborn City (Day 1 Onsite)
FULL TIME
Essential Job Functions:
Design and development of data ingestion pipelines (Databricks background preferred).
Perform data migration and conversion activities.
Develop and integrate software applications using suitable development methodologies and standards, applying standard architectural patterns, taking into account critical performance characteristics and security measures.
Collaborate with Business Analysts, Architects and Senior Developers to establish the physical application framework (e.g. libraries, modules, execution environments).
Perform end to end automation of ETL process for various datasets that are being ingested into the big data platform.
* Maintain and support the application.
* Must be willing to flex work hours accordingly to support application launches and manage production outages if necessary
* Ensures to understand the requirements thoroughly and in detail and identify gaps in requirements
* Ensures that detailed unit testing is done, handles negative scenarios and document the same
* Work with QA and automation team.
* Works on best practices and documenting the process
* code merges and releases (Bitbucket)
* Works with technical lead and manager on designs and best practices
* Good data analysis skills
Minimum Qualifications and Job Requirements:
* Must be a team player.
* Must have following
SCALA
SQL
Spark/Spark Streaming
Big Data Tool Set
Linux
Python/PySpark
Kafka
* Experience collaborating with dev team, project managers, and engineers.
* Excellent communication and teamwork skills
Other Responsibilities:
* Safeguard the company's assets.
* Adhere to the company's compliance program.
* Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
* Maintain a focus on customer-service, efficiency, quality, and growth.
* Collaborating with additional team members
* Other duties as assigned.
Position :- Pyspark Developer
Location :- Michigan – Dearborn City (Day 1 Onsite)
FULL TIME
Essential Job Functions:
Design and development of data ingestion pipelines (Databricks background preferred).
Perform data migration and conversion activities.
Develop and integrate software applications using suitable development methodologies and standards, applying standard architectural patterns, taking into account critical performance characteristics and security measures.
Collaborate with Business Analysts, Architects and Senior Developers to establish the physical application framework (e.g. libraries, modules, execution environments).
Perform end to end automation of ETL process for various datasets that are being ingested into the big data platform.
* Maintain and support the application.
* Must be willing to flex work hours accordingly to support application launches and manage production outages if necessary
* Ensures to understand the requirements thoroughly and in detail and identify gaps in requirements
* Ensures that detailed unit testing is done, handles negative scenarios and document the same
* Work with QA and automation team.
* Works on best practices and documenting the process
* code merges and releases (Bitbucket)
* Works with technical lead and manager on designs and best practices
* Good data analysis skills
Minimum Qualifications and Job Requirements:
* Must be a team player.
* Must have following
SCALA
SQL
Spark/Spark Streaming
Big Data Tool Set
Linux
Python/PySpark
Kafka
* Experience collaborating with dev team, project managers, and engineers.
* Excellent communication and teamwork skills
Other Responsibilities:
* Safeguard the company's assets.
* Adhere to the company's compliance program.
* Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
* Maintain a focus on customer-service, efficiency, quality, and growth.
* Collaborating with additional team members
* Other duties as assigned.
