Job Type: Full-time

Senior Data EngineerData Engineering • Full-time, Onsite • Bangalore / Chennai / Kochi (Work from Office)Exp: 4-6 years experienceAbout the RoleWe are 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.This is a hands-on senior individual-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.What You'll DoBuild & operate pipelines- Design and maintain scalable batch and streaming data pipelines (ELT/ETL) on Databricks, ingesting from databases, files, APIs, and event streams.Lakehouse & modeling- Architect and implement a medallion (bronze/silver/gold) lakehouse on Delta Lake; design dimensional and analytics-ready data models for downstream consumption.Microsoft Fabric delivery- Deliver data into and across Microsoft Fabric (Lakehouse, Warehouse, OneLake, Pipelines/Dataflows) and enable BI and semantic-model consumption.Orchestration & reliability- Orchestrate workflows with Airflow and/or Azure Data Factory; build in data-quality checks, monitoring, alerting, and SLAs.Governance- Implement cataloging, lineage, and access controls using Unity Catalog and Microsoft Purview.Performance & cost- Tune Spark jobs, storage layout, and cluster configuration for performance and cost efficiency.Standards & mentorship- Define engineering best practices, conduct design and code reviews,



and mentor mid-level data engineers.What We're Looking For4–6 years of qualified data engineering experience building and operating production data pipelines.Strong hands-on experience withDatabricks- Spark (PySpark/Spark SQL), Delta Lake, notebooks/jobs, and cluster management.Proven experience designing and buildingdata pipelines(batch and streaming) at scale, with a solid grasp of ELT/ETL patterns.Experience withMicrosoft Fabric- Lakehouse, Warehouse, OneLake, and Fabric Pipelines/Dataflows.Strong data modeling skills - medallion/lakehouse architecture and dimensional modeling.Proficiency inPythonand advancedSQL .Experience with workflow orchestration ( Airflowand/orAzure Data Factory ).Experience with data governance tooling ( Unity Catalogand/orMicrosoft Purview ).Experience with streaming ingestion ( Kafka / Event Hubsand Spark Structured Streaming).Ability to work independently, set technical direction, and mentor others.Nice to HaveAWS data experience- S3, Glue, Redshift, EMR, Athena, or Lake Formation (a strong plus).Infrastructure-as-code and CI/CD for data (Terraform, Git-based deployment, automated testing).Experience with dbt for transformation and testing.Familiarity with Power BI semantic models and BI enablement.Databricks or Microsoft (Azure) certifications.Technology StackDatabricks:Apache Spark (PySpark, Spark SQL), Delta Lake, Databricks Workflows/Jobs, Unity Catalog, Delta Live Tables.Microsoft / Fabric:Microsoft Fabric (Lakehouse, Warehouse, OneLake, Pipelines, Dataflows Gen2), Azure Data Factory, Azure Data Lake Storage, Microsoft Purview, Power BI.Pipelines & Orchestration:Apache Airflow, Azure Data Factory, Kafka / Azure Event Hubs, Spark Structured Streaming.Languages & Tooling:Python, SQL, Git, CI/CD, Terraform, dbt.AWS (plus):S3, AWS Glue, Amazon Redshift, EMR, Athena, Lake Formation.Why Join UsYou'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 (Mumbai)
🏢 Xencia Technology Solutions
📍 Mumbai