Azure Data Engineer - Python/SQL in Bombay, India - Jobeax
Vacancy description
Azure Data Engineer - Python/SQL in Bombay, भारत
WILLWARE TECHNOLOGIES PRIVATE LIMITED
Bombay, भारत
Role : Azure Data EngineerJob Overview : We are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Databricks, Azure Data Factory (ADF), Apache Airflow, Snowflake, SQL, and Python. The candidate should be capable of developing and maintaining scalable data pipelines and data engineering https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities : - Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.- Develop data processing solutions using Azure Databricks and PySpark/Python.- Build and manage data pipelines using Azure Data Factory (ADF).- Develop and manage workflows and orchestration using Apache Airflow.- Design and optimize data solutions using Snowflake.- Write complex and optimized SQL queries for data transformation and analysis.- Develop data engineering solutions using Python.- Perform data integration, transformation, validation, and troubleshooting.- Optimize pipeline and query performance.- Collaborate with data architects, analysts, and other engineering teams to deliver reliable data https://jobeax.com/link/XF1OMzY5gzhpXhBJ Skills : - Hands-on experience with Azure Databricks.- Hands-on experience with Azure Data Factory (ADF).- Hands-on experience with Apache Airflow.- Strong SQL skills.- Hands-on experience with Python.- Minimum 3 years of hands-on Snowflake experience. (ref:hirist.tech)
... in data engineering, ETL development, or related data platform roles.- Strong hands-on experience with Microsoft Azure data services.- Strong experience with Azure Data Factory (ADF) for data integration and pipeline development.- Hands-on experience with Azure Databricks and Apache Spark.- Strong proficiency in SQL and ...
... Spark, AWS (S3, Glue, Redshift, Kinesis), Kafka, Airflow, Python, https://jobeax.com/link/wngoC12EjrRb3nCt Skills : - Strong programming skills in Python for data manipulation and automation.- Hands-on expertise in Apache Spark (PySpark or Spark SQL) for large-scale data processing.- Deep understanding of AWS data ecosystem ...
... through code reviews, CI/CD processes, and production https://jobeax.com/link/1ji4Po3CGMdxF3ES Skills & Experience :- 6 - 10 years of hands-on experience in Data Engineering within large-scale, high-volume environments.- Strong expertise in SQL and Python (expert in one and strong understanding of the other).- Extensive ...
... Senior Data Engineer with strong expertise in Databricks, Apache Airflow, SQL, and Python to design and optimize data pipelines, ETL workflows, and cloud-based data solutions. The ideal candidate will have deep experience in big data processing, cloud-based analytics, and automation to drive efficient and scalable data engineering ...
Job Summary :Lead Azure Data Engineer with 5+ years of experience in designing and building scalable data lakes, data warehouses, and ETL pipelines using Azure Data Factory, Azure Databricks, SQL, and https://jobeax.com/link/Vk2Ax4dKU3remBk1 :- Develop, implement, and maintain the information data lake and use insight platforms ...
... or similar warehouses)- Integrate ML/AI models into production systems- Lead code reviews, enforce standards, and mentor engineersRequirements :- 10+ years in Data/Software Engineering- Strong in SQL, Python, Spark/PySpark- Hands-on with Google Cloud Platform (BigQuery, GCS, IAM) or any other cloud (AWS/ Azure)- Experience ...
... in Data Engineering and building enterprise-scale data platforms.- Strong proficiency in Python and PySpark.- Hands-on experience with Azure data services and Databricks.- Experience designing and developing ETL/ELT data pipelines.- Strong understanding of data engineering concepts, distributed computing, and data architecture.- ...
... Mixpanel, Amplitude, or Google Analytics.- Experience working with large-scale data warehouses such as ClickHouse, Redshift, BigQuery, or Snowflake.- Exposure to data engineering concepts, including ETL pipelines, data transformations, and data quality monitoring.- Experience with experimentation, A/B testing, statistical significance, ...
... https://jobeax.com/link/UUoRxTicNa2XoPeQ & Technical Leadership : - Apply data science techniques such as clustering and segmentation to surface product opportunities.- Work with large datasets on cloud platforms (e.g., AWS, Snowflake) using SQL, Python, and BI tools.- Partner closely with Product and Engineering to shape strategy and priorities.- ...