15h Left: Data Engineer

1 week ago

Hyderabad, India Kanerika Inc Full time

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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