Data Engineer

5 days ago

Abu Dhabi, Abu Dhabi, United Arab Emirates ParamInfo Full time
Roles and responsibilities

DataEngineer

Location : Dubai

We are looking for Experienceupto: 5-8Years

Summary: Experienced Informatica PC and IDMC Developer with 5+ years in data engineering. Skilled in designing end-to-enddata pipelines using PC/IDMC for effective migration andtransformation across cloud platforms. The ideal candidate willhave in-depth knowledge of Informatica PowerCenterand IDMC. A strong foundation in DataWarehousing concepts and proficiency inSnowflake andSQL is essential. Strong team playerwith agile experience, delivering timely, high-impact datasolutions.

TechnicalSkills

  • Tools: Informatica Cloud DataIntegration, Informatica PowerCenter
  • DataWarehousing: Snowflake, DataLake
  • Programming:SQL, Python, Shell Scripting
  • Data Management:Storage management, quality monitoring,governance
  • Modeling: Dimensional modeling,star/snowflake schema

CoreCompetencies

  • Design, develop, and optimize ETLworkflows using Informatica PowerCenter (PC) and InformaticaIDMC.
  • Manage data ingestion processes fromdiverse data sources such as Salesforce, Oracle databases,PostgreSQL, and MySQL.
  • Implement and maintainETL processes and data pipelines to ensure efficient dataextraction, transformation, andloading.
  • Utilize Snowflake as the datawarehouse solution for managing large volumes of structured andunstructured data.
  • Maintain and optimize ETLjobs for performance and reliability, ensuring timely dataavailability for business users.
  • Support datamigration, data integration, and data consolidationefforts.
  • Write and maintain basic Pythonscripts for data processing and automationtasks.
  • Utilize Unix shell commands fordata-related tasks and systemmanagement.
  • Troubleshoot and resolveETL-related issues, ensuring data integrity andavailability.
  • Ensure adherence to bestpractices for data governance and security.

ProfessionalExperience

  • InformaticaDeveloper
  • Developed ELT processes using PC/IDMCto integrate data into Snowflake.
  • Implementedstorage management for Azure Blob and Snowflake, enhancing datasecurity.
  • Worked on basis Python and shellscripting languages
Desired candidate profile

  • Data ArchitectureDesign :

    • Design anddevelop scalable, efficient, and reliable data architectures thatsupport data storage, processing, and analyticsneeds.
    • Build and maintain data warehouses,databases, and other storage solutions.
    • Createand optimize data models that meet the organization'sanalytical and businessrequirements.

  • DataPipelineDevelopment :

    • Build andmaintain ETL (Extract, Transform,Load) pipelines to move data from various sources todata warehouses, databases, or cloud storagesystems.
    • Ensure pipelines can handle highvolumes of data, perform transformations, and ensure data integrityand accuracy.
    • Automate data workflows andensure they are scalable and robust for ongoing data processingtasks.

  • DataIntegration :

    • Integratedata from diverse sources (databases, APIs, third-party services,etc.) into unified systems.
    • Collaborate withexternal teams to gather data requirements and develop integrationsolutions.
    • Manage batch and real-time dataintegration processes, ensuring that data flows continuously andefficiently.

  • DataQualityManagement :

    • Ensure theaccuracy, consistency, and reliability of data by implementingquality checks and monitoring.
    • Identify andresolve issues related to missing, incomplete, or inconsistentdata.
    • Establish and maintain data governancestandards to ensure compliance with regulatory and internal datapolicies.

  • DataWarehousing :

    • Developand optimize data warehouses, ensuring they are structuredefficiently for query performance andanalysis.
    • Ensure data storage is cost-effectivewhile providing fast access andscalability.
    • Support the implementation ofOLAP (Online Analytical Processing) and OLTP (Online TransactionProcessing) solutions.

  • PerformanceOptimization :

    • Optimizequery performance to ensure fast data retrieval, using techniqueslike indexing, partitioning, andcaching.
    • Monitor and tune data systems forbetter performance, minimizing bottlenecks anddowntime.
    • Scale data infrastructure based onincreasing data volumes and processingdemands.

  • CloudData Engineering :

    • Workwith cloud platforms like AWS ,Google Cloud Platform (GCP) , orMicrosoft Azure to deploy, manage, andscale data storage and processingsystems.
    • Utilize cloud-native tools (e.g.,AWS Redshift ,BigQuery , Azure SynapseAnalytics ) to manage and processdata.

  • Collaborationwith Data Teams :

    • Workclosely with data scientists anddata analysts to understand their datarequirements and provide clean, reliable, and accessibledata.
    • Support the development of machinelearning models by providing clean, labeled, and pre-processeddata.
    • Collaborate with business intelligenceteams to ensure data is structured in a way that supports reportingandanalytics.
Key Skills
Data Quality,DataAnalysis and Reporting,Data Analytics
Employment Type : Full-time
Department / Functional Area: DataEngineering
Experience: years
Gender: Male
Vacancy: 1

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