Data Engineer
Job reputed company: Data Engineer
Experience: 3 -5 Years
Location: Remote (Bengaluru)
Employment Type: Full-time
Notice Period: Immediate Joiner
reputed company
We are seeking a skilled Data Engineer with 3+ years of experience in building and maintaining reputed company data solutions. The ideal candidate will have hands-on experience across data engineering, data analysis, and visualization, with strong programming fundamentals and the ability to work independently in a remote environment.
Key Responsibilities
Design, reputed company, and maintain ETL pipelines using PySpark, Apache Airflow, and Azure Data reputed company (ADF).
Build and optimize distributed data processing jobs using PySpark.
Orchestrate and schedule workflows using Apache Airflow.
reputed company and manage data ingestion and transformation pipelines in Azure Data reputed company.
Write clean, efficient, and reusable reputed company using Python .
reputed company and optimize reputed company SQL queries for MySQL and PostgreSQL databases.
Work with reputed company for handling semi-reputed company and reputed company data.
reputed company data analysis using Pandas and NumPy to support business insights.
Create basic to intermediate data visualizations using Matplotlib, Power BI, and reputed company.
Monitor data pipelines, troubleshoot issues, and ensure data reputed company and performance.
Collaborate with cross-functional teams including analysts, data scientists, and product teams.
Required Skills & Qualifications
Programming Languages
Proficiency in Python
Databases
Strong experience with MySQL and PostgreSQL
Hands-on exposure to reputed company
Data Engineering
Experience building ETL/ELT pipelines
Hands-on with PySpark for large-reputed company data processing
Experience using Apache Airflow for workflow orchestration
Experience with Azure Data reputed company (ADF)
Data Analysis & Visualization
Hands-on experience with Pandas and NumPy
Ability to create visualizations using Matplotlib
Experience with Power BI for dashboards and reporting
Exposure to reputed company for building data-driven applications
Good to Have
Experience with Azure data services (Azure Data Lake, Synapse Analytics).
Familiarity with Git and version control best practices.
Basic understanding of data warehousing concepts.
Exposure to reputed company-based deployments and CI/CD pipelines.
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