B
Blackbuck Insights (BBI)
Data Engineer
Skills
Google Cloud PlatformSQL QueriesData EngineeringPythonNumPypandasScalaAWSPySparkApache AirflowHadoop
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹600,000 – ₹2,300,000 / year
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
1 September 2026
What they need
Roles and Responsibilities :
- Design, develop, test, deploy and maintain large-scale data pipelines using Airflow on GCP/AWS platforms.
- Collaborate with cross-functional teams to gather requirements and design solutions for complex data processing workflows.
- Develop high-quality code in Python using PySpark, SQL, and other relevant technologies to ensure efficient data processing.
- Troubleshoot issues related to pipeline failures or errors in the data flow.
Job Requirements :
- 4-6 years of experience in Data Engineering with expertise in Airflow, AWS/GCP cloud platforms.
- Strong proficiency in Python programming language with experience working with libraries such as Pandas, NumPy, etc.
- Experience working with big-data technologies like Hadoop (HDFS), Spark (Scala/Python) is required.
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