Data Engineer

Q3 technologies

3 - 8 years

3 - 7 Lacs

gurugram bengaluru

Posted:8 hours ago| Platform:

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Skills Required

python data processing sql data integration data flow scala airflow bi big data technologies microsoft azure power bi data architecture data engineering data quality tableau apache spark gcp kafka data ingestion data visualization aws etl data lake

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Role:

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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