Data Engineer

3 weeks ago

Ahmedabad, India TIGI HR ® Full time

Position- Data Engineer

Experience- 4-6 Years

Budget- 9.00LPA

Location - Ahmedabad

Notice period- Immediate - 30 Days


Roles & Responsibilities:

  • Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.
  •  Constructing infrastructure (on cloud - GCP) for efficient ETL processes from various sources and storage systems.
  •  Creating innovative data validation methods and data analysis tools.
  •  Ensuring compliance with data governance and security policies.
  •  Conducting complex data analysis and presenting results effectively.
  •  Continuously exploring opportunities to enhance data quality and reliability.

Data Modeling:

  • o Create and maintain data models that support business requirements and data analytics.
  • o Ensure data structures are optimized for performance and scalability.


Collaboration:

  • o Work closely with cross-functional teams, including data scientists, analysts, and business users, to understand data needs and provide effective solutions.
  • o Collaborate with IT Infra team and security teams to ensure infra availability, data privacy and compliance with security standards.


Technology Knowledge:

  • ETL: Extract, Transform and Load: Develop, optimize, and maintain ETL processes to extract,

transform, and load data from diverse sources into the Data Lake.

  • Implement data quality checks and ensure the reliability and accuracy of the end-to-end data flow pipelines from the data sources through ETL to GCP storage to Data Lakehouse layer to Qliksense.
  • Talend knowledge is a minimum.


Datalake:

  • o Design, implement, and maintain our Data Lake architecture to ensure efficient storage, retrieval, and processing of large volumes of structured and unstructured data.
  • Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
  • Dremio or Google BigQuery knowledge would be an added advantage.

BI Integration:

  • o Integrate Business Intelligence tools with the Data Lake to provide stakeholders with meaningful insights and reports.
  • Collaborate with analysts and business users to understand reporting requirements and implement dashboards and visualizations.
  • QlikSense or Tableau knowledge would be an added advantage.


Qualification and Skills:

  • Bachelor’s degree in computer science, Information Systems, Data Science, or a related field.
  • Minimum 4-5 years of experience in data engineering space Proficient in SQL to perform data querying and manipulation.
  • Experience with data integration and ETL processes to extract, transform, and load data from various sources.
  • Excellent verbal and written communication skills to effectively convey insights and findings to internal and external stakeholders.
  • Strong problem-solving skills and the ability to find innovative solutions to business challenges through data visualization.
  • Collaborative mindset with the ability to work effectively in a team-oriented environment.
  • Strong analytical and critical-thinking skills to interpret data and draw meaningful conclusions

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