Data Management Engineer II

Job Requirements:

1-4 years of work experience

Excellent analytical, organizational, and problem-solving and skills
Has mature written and verbal communication skills, as well as presentation skills.
Ability to work independently and collaborate with others at all levels of technical understanding
Self-motivated and dedicated with the ability to triage and prioritize technical issues, work with team members to problem resolution
Ability to plan and carry out responsibilities with some direction
Ability to quickly learn new systems and business processes and adapt to changing technology and priorities
Experience in coordinating with data stewards and analysts to understand business requirements, functional requirements, and conversion of business rules into technical specifications
Experience in Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions and ETL data pipelines
Experience in various programming languages like Java and Python, orchestration tools and processes or other directly related experience.
Hands on experience in database and table design, proficient in writing complex SQLs, expertise in performance tuning of SQLs
Excellent knowledge of the Informatica platform as a whole and the integration among different Informatica components and services
Good experience in end-to-end implementation of DW & BI projects, especially in data warehouse and mart developments
Experience in Relational Modeling, Dimensional Modeling, Modeling of Unstructured Data and business process relationships
Good understanding of Data integration, Data quality paradigms and data governance/ data architecture concepts
Working knowledge in handling various web services and APIs (Soap, REST)
Working experience on Informatica Cloud Services (IDMC) development; Cloud Data Integration (CDI), Cloud Application Integration (CAI), Cloud Data Quality CDQ and CDGC
Experience in ETL design and development using Informatica PowerCenter, Data Quality, and Data Engineering using various transformations, and ETL design/development methodologies.
Experience developing profiles and scripts for the execution and testing of mappings and workflows to implement data stewardship and exception processing
Full lifecycle project experience as a developer in designing and developing ETL jobs.
Knowledge of UNIX/Linux shell scripting, scheduling and orchestration tools and processes.
Good understanding of XML/Json structures.
Experience working in Agile framework and project management methodologies
Knowledge of data analysis in AWS environment (Athena, Redshift, S3, Sagemaker, EMR) is a plus
Knowledge of Python libraries (Pandas, Numpy, Plotly, Pyspark, Sklearn) is a plus
Knowledge of using Change Data Capture methodologies is a plus
Knowledge of data analysis in Azure platform (Data Factory/Synapse/etc.) is a plus
Experience working with Power BI in data analytics space is a plus.
Experience with Big data technologies is a plus

Similar jobs

No similar jobs found

Term of use Privacy policy