Data Engineer (Databricks)

Data Engineer

Navi Mumbai, MH

As a Senior Data Engineer, you will leverage advanced data engineering techniques and analytics to support business decisions for the client. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

Experience:

• Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects
• Develop scalable streaming and batch solutions using cloud-native components.
• Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalization, utilizing Databricks and related technologies.
• Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows.

Technical Skills:

• Expert-level proficiency in Spark Scala, Python, and PySpark.
• In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling.
• Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce.
• Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills:

• Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP).
• Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration.
• Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.
• Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities.

Certifications:

• Certification in Databricks Engineering (Professional)
• Microsoft Certified: Azure Data Engineer Associate
• GCP Certified: Professional Google Cloud Certified.
• AWS Certified Solutions Architect Professional