MANFRONT Live jobs
Live jobs
Syniti Engineer / Data Engineer
IT jobs
Apply for job
Chat with Recruiter

Job Overview

  • Date Posted:

    26-02-2025

  • Location:

    Remote

  • Jobs Type:

    full time

  • Salary:

    20 LPA - 40 LPA

  • No. of Vacancies :

    1

  • Experience:

    8 - 12 years

  • Skills:

    Version Control Agile Development Data Intergration Datastage Cloud Informatica Python Sap Object Mapping It Development Data Quality Relational Database Management Systems Data Profiling Team Collabroration Teamwork python Scripting Python Scripting Google Cloud Aws Problem Solving Etl Data Ingestion Syniti Talend Sap Entity Mapping Cloud Computing java Data Modeling Integration Cloud Services Sql Scala Abap Azure Sql Proficiency Sap Data Governance

  • Qualification :

    Bachelor's degree

Full description

Overview

The Syniti Engineer / Data Engineer plays a crucial role in the management, integration, and transformation of data to meet organizational needs. This position is vital in ensuring that data flow meets business requirements while preserving data quality. The individual in this role will work with analytical tools and technologies to facilitate data-driven decision-making. By leveraging the Syniti platform, the Data Engineer will develop and maintain data processes that enhance enterprise operations. Additionally, work will involve collaborating with various teams to understand data needs, troubleshoot issues, and implement innovative solutions. As data becomes an increasingly strategic asset for organizations, the Syniti Engineer is expected to bring technical expertise, creativity, and critical thinking to help build a robust data ecosystem.

Skills:

8 plus years of IT Development experience

2 plus years of development experience in the areas of ETL/ Data Ingestion using tools like Datastage/ Informatica/ Talend.

Must have 3 plus years of development experience using Syniti tool. Hands on development experience for Data Profiling, Data Quality, SAP Entity / Object mapping and transformation is necessary.

2 plus years of experience in data profiling, data quality and data governance is necessary. Resource need to work with Business SME and Business users for DQ business rules and DQ enrichment.

Must have good SAP ERP background. 2 plus years of SAP development experience using ABAP coding.

Must have good understanding of entity mapping from legacy ERP to SAP S3/ S4 HANA

Must have ability lead ETL development / Syniti development team

Excellent analytical and problem-solving skills.

Strong understanding of cloud computing concepts, including IaaS, PaaS, and SaaS.

 

Key Responsibilities

  • Develop, maintain, and optimize data integration processes using Syniti tools.
  • Design and implement ETL workflows, ensuring data accuracy and integrity.
  • Collaborate with cross-functional teams to gather and document data requirements.
  • Analyze and troubleshoot data issues, performing root cause analysis.
  • Ensure compliance with data governance policies and best practices.
  • Create data models and define data architecture to support business objectives.
  • Monitor system performance and make necessary adjustments for optimization.
  • Participate in data migration activities to ensure seamless transitions.
  • Support data quality initiatives by establishing procedures for data validation.
  • Contribute to data strategy discussions, offering continuous improvement suggestions.
  • Document data processes, workflows, and technical specifications.
  • Assist with the deployment of data solutions in cloud environments.
  • Train and support end-users on data-related issues and solutions.
  • Stay updated on emerging data technologies and industry trends.
  • Work closely with data architects and analysts to align on data initiatives.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Experience working with the Syniti platform or similar data management tools.
  • Proficient in SQL and relational database management systems.
  • Strong knowledge of ETL processes and data integration techniques.
  • Hands-on experience with cloud services such as AWS, Azure, or Google Cloud.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Familiarity with data modeling concepts and frameworks.
  • Solid understanding of data governance and data quality principles.
  • Experience in agile development methodologies.
  • Ability to analyze complex data sets and derive actionable insights.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Minimum of 3 years of experience in data engineering or a related field.
  • Certifications in data management or cloud technologies are a plus.
  • A proactive attitude towards learning and adapting to new technologies.
  • Experience with version control systems like Git.