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Walks Technologies jobs in Bengaluru, Karnataka

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Data Engineer
Bengaluru, Karnataka

Job details

Pay information not provided
Bengaluru, Karnataka

Full job description

Take the world with you

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As a global tech hub, we drive innovation at an unparalleled scale. With a pioneering spirit and an influential client base, we empower our team to spark impactful change, shaping a better world for millions.


Data Engineer

3+ years | Bengaluru,Gurugram


Job Description:

Data Engineer is required to be proactive in designing, building and maintaining data systems. The role also requires cross-functional collaborations and ensure highest standards of data quality and performance by extending his expertise in data engineering, data architecture, pipeline creation and big data technologies.

Key Responsibilities:

  • Understand the values and vision of the organization.
  • Protect the Intellectual Property.
  • Adhere to all the policies and procedures.
  • Design, develop, and maintain scalable data pipelines for data ingestion, processing and storage.
  • Build and optimize data architectures and data models for efficient data storage and retrieval.
  • Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
  • Ensure data integrity, quality, and security across all data systems.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
  • Document data processes, architectures, and data flow diagrams.
  • Implement and maintain data integration solutions using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).

Required Skills & Experience:

  • Expertise on Data Integration, processing & Storage.
  • Expertise on Data optimization architecture, data process and data flow.
  • Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.
  • Proficiency in SQL and at least one programming language (e.g., Python, Scala).
  • Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services.
  • Experience with data visualization tools (e.g., Tableau, Power BI).

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