Job Title: Data Engineer Work Mode: Hybrid (3 Days from Office – Only 4 Hours Onsite per Day) Location: GurgaonAbout the RoleBayOne is looking for a skilled Data Engineer to join our dynamic team in Gurgaon. This hybrid role offers flexibility, with just 4 hours per day required in-office, 3 days a week. If you're passionate about building scalable data solutions using Azure and Databricks and thrive in a fast-paced environment, we'd love to hear from you.Key ResponsibilitiesDesign and build scalable data pipelines and data lake/warehouse solutions on Azure and Databricks.Work extensively with SQL, schema design, and dimensional data modeling.Develop and maintain ETL/ELT processes using tools like ADF, Talend, Informatica, etc.Leverage Azure Synapse, Azure SQL, Snowflake, Redshift, or BigQuery to manage and optimize data storage and retrieval.Utilize Spark, PySpark, and Spark SQL for big data processing.Collaborate cross-functionally to gather requirements, design solutions, and implement best practices in data engineering.Required QualificationsMinimum 5 years of experience in data engineering, data warehousing, or data lake technologies.Strong experience on Azure cloud platform (preferred over others).Proven expertise in SQL, data modeling, and data warehouse architecture.Hands-on with Databricks, Spark, and proficient programming in PySpark/Spark SQL.Experience with ETL/ELT tools such as Azure Data Factory (ADF), Talend, or Informatica.Strong communication skills and the ability to thrive in a fast-paced, dynamic environment.Self-motivated, independent learner with a proactive mindset.Nice-to-Have SkillsKnowledge of Azure Event Hub, IoT Hub, Stream Analytics, Cosmos DB, and Azure Analysis Services.Familiarity with SAP ECC, S/4HANA, or HANA data sources.Intermediate skills in Power BI, Azure DevOps, CI/CD pipelines, and cloud migration strategies.About BayOneBayOne is a 12-year-old software consulting company headquartered in Pleasanton, California. We specialize in Talent Solutions, helping clients build diverse and high-performing teams. Our mission is to #MakeTechPurple by driving diversity in tech while delivering cutting-edge solutions across:Project & Program ManagementCloud & IT InfrastructureBig Data & AnalyticsSoftware & Quality EngineeringUser Experience DesignExplore More:
Job Title
Data Engineer