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Technology

Data Engineer

Weekday AI

Workable
WhatsApp
Location
Bengaluru, Karnataka, India, India
Type
Full-time
Salary
Salary not specified
Posted
12 Nov 2026
This role is for one of Weekday’s clients Salary range: Rs 1000000 - Rs 2000000 (ie INR 10 - 20 LPA) Min Experience: 7+ years Location: Bengaluru, Karnataka, India JobType: full-time Requirements  7-8 years of experience in Data Engineering, with strong hands-on expertise in Python, SQL, and ETL/ELT processes.  Experience with Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS).  Strong understanding of data warehousing, data modelling, database architecture, and data management concepts.  Experience designing, developing, and optimizing scalable data pipelines for processing large datasets.  Hands-on experience in data ingestion, transformation, integration, and workflow orchestration.  Experience with PySpark and distributed data processing.  Knowledge of cloud platforms such as Azure, AWS, or GCP.  Understanding of data quality, validation, monitoring, and performance optimization.  Experience in troubleshooting data pipeline issues and ensuring data reliability.  Knowledge of data security, governance, and best practices.  Strong analytical, problem-solving, and communication skills.  Ability to work with cross-functional teams and transla
This role is for one of Weekday’s clients Salary range: Rs 1000000 - Rs 2000000 (ie INR 10 - 20 LPA) Min Experience: 7+ years Location: Bengaluru, Karnataka, India JobType: full-time Requirements  7-8 years of experience in Data Engineering, with strong hands-on expertise in Python, SQL, and ETL/ELT processes.  Experience with Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS).  Strong understanding of data warehousing, data modelling, database architecture, and data management concepts.  Experience designing, developing, and optimizing scalable data pipelines for processing large datasets.  Hands-on experience in data ingestion, transformation, integration, and workflow orchestration.  Experience with PySpark and distributed data processing.  Knowledge of cloud platforms such as Azure, AWS, or GCP.  Understanding of data quality, validation, monitoring, and performance optimization.  Experience in troubleshooting data pipeline issues and ensuring data reliability.  Knowledge of data security, governance, and best practices.  Strong analytical, problem-solving, and communication skills.  Ability to work with cross-functional teams and translate business requirements into effective data engineering solutions. Must-have skills Python, ETL Good-to-have skills AWS, GCP