Azure Data Engineer

Opeka Serve; Gurugram District, Bengaluru, Mumbai; Hybrid; INR 1,200,000 - 1,900,000; Full time

Job summary

Opeka Serve is seeking an Azure Data Engineer to design and implement robust data pipelines across cloud services in India. You will focus on ETL, data integration, and high-performance data modeling to fuel analytics initiatives.

The role requires expertise in Python, PySpark, Databricks, and Azure ADLS/ADF/ADB, with a strong emphasis on data quality, security, and scalable architectures. Collaboration with analysts and business teams is essential.

Qualifications

• 5.5–8.5 years of experience in data engineering.
• Proficient in Python, PySpark and Databricks.
• Experience with Azure data services (ADLS, ADF, ADB) and SQL.
• Strong data modeling, warehousing, and data quality focus.

Responsibilities

• Design and build ETL pipelines ensuring data quality and timeliness.
• Oversee data integration across systems with stakeholders.
• Model data structures to support analytics and reporting.
• Manage relational and NoSQL databases for performance and security.

Skills

Python

PySpark

Databricks

Azure services

SQL Advanced

Data Warehouse

Data Modeling

Data Strategy

Data Quality

Communication

Problem solving

Job description

Job Details:

Job Title : Azure Data Engineer

Location : Mumbai, Bangalore, Gurugram, Chennai

Mode : Hybrid

Job Description

• Data Pipeline Development: Design and implement data pipelines for data extraction, transformation, and loading (ETL) processes. Ensure data quality, reliability, and timeliness.
• Data Integration: Oversee data integration efforts, ensuring seamless data flow between different systems and sources. Collaborate with data analysts, data scientists, and business stakeholders to define data integration requirements.
• Data Modeling: Define and implement data models that support analytical and reporting needs. Optimize data structures for query performance and storage efficiency.
• Database Management: Manage and optimize databases, both relational and NoSQL, for performance, scalability, and security.
• Experience: 5.5 to 8.5 years
• Mandatory Skills: Python, Pyspark, Databricks, Azure Services(ADLS, ADF, ADB), SQL Advanced
• Data Warehouse, Data Modeling, Data Strategy, Data Quality
• Good communication and Problem-solving skills.