Informatica, Bigdata
Apply NowCompany: SysMind Tech
Location: Phoenix, AZ 85032
Description:
Roles and Responsibilities:
Develop and maintain data pipelines using BigData processes
Focus on ingesting, storing, processing, and analyzing large datasets
Work closely with data science team to implement data analytics pipelines.
Help define data governance policies and support data-versioning processes.
Maintain security and data privacy, working closely with data protection officer.
Analyze vast number of data stores to uncover insights
Enhancing data collection procedures to include all relevant information for developing analytic systems.
Processing, cleansing, and validating the integrity of data to be used for analysis.
Analyzing large amounts of information to find patterns and solutions.
Developing prediction systems and machine learning algorithms
Presenting results in a clear manner.
Propose solutions and strategies to tackle business challenges
Collaborate with Business and IT teams.
Required skills and qualifications:
Bache Degree in Engineering or Computer Science or equivalent OR Master in Computer Applications or equivalent.
10+ years of software development experience and leading teams of engineers and scrum teams
5+ years of hands-on experience of working with Informatica, Oracle
Solid Datawarehousing concepts Knowledge of Financial reporting ecosystem will be a plus
5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be a addon
Expert on Distributed ecosystem
Hands-on experience with programming using Core Java or Python/Scala
Expert on Hadoop and Spark Architecture and its working principle
Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes),
optimizing joins while processing huge amount of data
Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing
Should have experience in analysis, design, development, testing, and implementation of system applications
Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.
Develop and maintain data pipelines using BigData processes
Focus on ingesting, storing, processing, and analyzing large datasets
Work closely with data science team to implement data analytics pipelines.
Help define data governance policies and support data-versioning processes.
Maintain security and data privacy, working closely with data protection officer.
Analyze vast number of data stores to uncover insights
Enhancing data collection procedures to include all relevant information for developing analytic systems.
Processing, cleansing, and validating the integrity of data to be used for analysis.
Analyzing large amounts of information to find patterns and solutions.
Developing prediction systems and machine learning algorithms
Presenting results in a clear manner.
Propose solutions and strategies to tackle business challenges
Collaborate with Business and IT teams.
Required skills and qualifications:
Bache Degree in Engineering or Computer Science or equivalent OR Master in Computer Applications or equivalent.
10+ years of software development experience and leading teams of engineers and scrum teams
5+ years of hands-on experience of working with Informatica, Oracle
Solid Datawarehousing concepts Knowledge of Financial reporting ecosystem will be a plus
5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be a addon
Expert on Distributed ecosystem
Hands-on experience with programming using Core Java or Python/Scala
Expert on Hadoop and Spark Architecture and its working principle
Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes),
optimizing joins while processing huge amount of data
Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing
Should have experience in analysis, design, development, testing, and implementation of system applications
Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.