Senior Data Engineer

3 hours ago

Hyderabad, Telangana, India Enable Data Incorporated Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Experience Required: 8+Years

Mode of work: Remote

Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture,Azure Data Factory, Pyspark, Python, SQL, Spark

Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within September 15th 2025)

  • Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
  • Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights.
  • Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
  • Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
  • Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
  • Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
  • Provide technical guidance and expertise to junior data engineers and developers.
  • Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering.
  • Contribute to the continuous improvement of data engineering processes, tools, and best practices.
Requirements
  • Bachelor's or master's degree in computer science, engineering, or a related field.
  • 10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solutions.
  • Strong knowledge and experience with Azure cloud platform, Databricks,EventHub,Architecture,Spark,Kafka, ETL Pipeline,Python/Pyspark, SQL EventHub, Copilot Studio..
  • Strong experience with cloud platforms such as Azure .

  • Experience with big data systems, including Apache Spark / Kafka

  • Experience contributing to the architecture and design of large-scale distributed systems

  • Expertise in Databricks Lakehouse Platform, its architecture, and its capabilities.

  • Experience building production pipelines using Databricks and Azure services

  • Experience with multiple coding languages such as Python or SQL.

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