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Data Engineer

Data Engineer

Kanerika Incbangalore, karnataka, in
18 days ago
Job description

About the Role

We are seeking a skilled Data Engineer with strong experience in Databricks, Microsoft Fabric, or Snowflake , along with Power BI expertise , to design, build, and optimize scalable data pipelines and analytics solutions. You will also play a key role in enabling effective data visualization and reporting for business stakeholders.

Key Responsibilities

  • Design, develop, and maintain ETL / ELT pipelines using Databricks, Fabric, or Snowflake.
  • Build and optimize data workflows for performance, scalability, and cost efficiency in cloud environments (Azure / AWS / GCP).
  • Implement and manage data lakes, data warehouses, or lakehouse architectures .
  • Develop and maintain Power BI dashboards and reports to support business insights and decision-making.
  • Collaborate with cross-functional teams to define data requirements, governance standards, and best practices .
  • Ensure data quality, integrity, and security across all platforms.
  • Automate workflows and support CI / CD deployments for data solutions.
  • Monitor and troubleshoot pipelines and dashboards to ensure high availability and reliability.

Required Qualifications

  • Bachelor’s / Master’s degree in Computer Science, Information Technology, Engineering, or related field.
  • Proven experience as a Data Engineer with expertise in Databricks OR Fabric OR Snowflake .
  • Hands-on experience with Power BI (data modeling, DAX, dashboard creation, performance optimization).
  • Strong proficiency in SQL and at least one programming language (Python / Scala / Java).
  • Experience with data modeling and building scalable pipelines in cloud environments.
  • Knowledge of Azure, AWS, or GCP and their data ecosystem.
  • Strong problem-solving, analytical, and communication skills.
  • Preferred Qualifications

  • Experience with streaming data technologies (Kafka, Event Hubs, Kinesis).
  • Knowledge of Delta Lake, Synapse, or Snowflake performance optimization .
  • Familiarity with DevOps practices for data (CI / CD, Git, Infrastructure as Code).
  • Exposure to machine learning pipelines or advanced analytics.
  • Understanding of data governance, lineage, and compliance frameworks .
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    Data Engineer • bangalore, karnataka, in

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