Job DescriptionSenior Data Engineer NData Engineeringn N Full-time, Onsiten Bangalore / Chennai / Kochi (Work from Office) NnExp: 4-6 years experience NAbout the RolenWeare looking for a Senior Data Engineer to design, build, and operate the data pipelines and lakehouse platform that power analytics and data products across the business. You will own end-to-end ingestion, transformation, and modeling on Databricks and Microsoft Fabric - turning raw, heterogeneous source data into reliable, well-governed, analytics-ready datasets. NThis is a hands-on seniorindividual-contributor role. Beyond writing production-grade pipelines, you will set engineering standards, review designs, and mentor mid-level engineers on the team. The role is industry-agnostic — you will work across a range of data domains and source systems. NWhat You'll Donn Build & operate pipelines - Design and maintain scalable batch and streaming data pipelines (ELT/ETL) on Databricks, ingesting from databases, files, APIs, and event streams. N Lakehouse & modeling - Architect and implement a medallion (bronze/silver/gold) lakehouse on Delta Lake; design dimensional and analytics-ready data models for downstream consumption. N Microsoft Fabric delivery - Deliver data into and across Microsoft Fabric (Lakehouse, Warehouse, OneLake, Pipelines/Dataflows) and enable BI and semantic-model consumption. N Orchestration & reliability - Orchestrate workflows with Airflow and/or Azure Data Factory; build in data-quality checks, monitoring, alerting, and SLAs. N Governance - Implement cataloging, lineage, and access controls using Unity Catalog and Microsoft Purview. N Performance & cost - Tune Spark jobs, storage layout, and cluster configuration for performance and cost efficiency. N Standards & mentorship - Define engineering best practices, conduct design and code reviews, and mentor mid-level data engineers.



NnWhat We're LookingFor Nn 4–6 years of skilled data engineering experience building and operating production data pipelines. N Strong hands-on experience with Databricks - Spark (PySpark/Spark SQL), Delta Lake, notebooks/jobs, and cluster management. N Proven experience designing and building data pipelines (batch and streaming) at scale, with a solid grasp of ELT/ETL patterns. N Experience with Microsoft Fabric - Lakehouse, Warehouse, OneLake, and Fabric Pipelines/Dataflows. N Strong data modeling skills - medallion/lakehouse architecture and dimensional modeling. N Proficiency in Python and advanced SQL. N Experience with workflow orchestration (Airflow and/or Azure Data Factory). N Experience with data governance tooling (Unity Catalog and/or Microsoft Purview). N Experience with streaming ingestion (Kafka / Event Hubs and Spark Structured Streaming). N Ability to work independently, set technical direction, and mentor others. NnNice to Haven N AWS data experience - S3, Glue, Redshift, EMR, Athena, or Lake Formation (a strong plus). N Infrastructure-as-code and CI/CD for data (Terraform, Git-based deployment, automated testing). N Experience with dbt fortransformation and testing. N Familiarity with Power BI semantic models and BI enablement. N Databricks or Microsoft(Azure) certifications. NnTechnology Stack NDatabricks: Apache Spark (PySpark, Spark SQL), Delta Lake, Databricks Workflows/Jobs, Unity Catalog, Delta Live Tables. NMicrosoft / Fabric: Microsoft Fabric (Lakehouse, Warehouse, OneLake, Pipelines, Dataflows Gen2), Azure Data Factory, Azure Data Lake Storage, Microsoft Purview, Power BI. NPipelines & Orchestration: Apache Airflow, Azure Data Factory, Kafka / Azure Event Hubs, Spark Structured Streaming. NLanguages & Tooling: Python, SQL, Git, CI/CD, Terraform, dbt. NAWS (plus): S3, AWS Glue, Amazon Redshift, EMR, Athena, Lake Formation. NWhy Join UsnYou'll take real ownership of a modern lakehouse platform, work across a broad set of data domains, and shape how the team builds data. We value skills and impact over formal credentials — there is no degree or certification requirement for this role.

📌 Senior Data Engineer (Karnataka)
🏢 Xencia Technology Solutions
📍 Karnataka