Job DescriptionSenior Data Engineer

NData Engineering

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- Full-time, Onsite
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- Bangalore / Chennai / Kochi (Work from Office)
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nExp: 4-6 years experience

NAbout the Role

nWeare 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 Do

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- Build & operate pipelines - Design and maintain scalable batch and streaming data pipelines (ELT/ETL) on Databricks, ingesting from databases, files, APIs, and event streams.
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- Lakehouse & modeling - Architect and implement a medallion (bronze/silver/gold) lakehouse on Delta Lake;

design dimensional and analytics-ready data models for downstream consumption.

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- Microsoft Fabric delivery - Deliver data into and across Microsoft Fabric (Lakehouse, Warehouse, OneLake, Pipelines/Dataflows) and enable BI and semantic-model consumption.
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- Orchestration & reliability - Orchestrate workflows with Airflow and/or Azure Data Factory;

build in data-quality checks, monitoring, alerting, and SLAs.

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- Governance - Implement cataloging, lineage, and access controls using Unity Catalog and Microsoft Purview.
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- Performance & cost - Tune Spark jobs, storage layout, and cluster configuration for performance and cost efficiency.
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- Standards & mentorship - Define engineering best practices, conduct design and code reviews, and mentor mid-level data engineers.
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nWhat We're LookingFor

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- 4–6 years of skilled data engineering experience building and operating production data pipelines.
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- Strong hands-on experience with Databricks - Spark (PySpark/Spark SQL), Delta Lake, notebooks/jobs, and cluster management.
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- Proven experience designing and building data pipelines (batch and streaming) at scale, with a solid grasp of ELT/ETL patterns.
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- Experience with Microsoft Fabric - Lakehouse, Warehouse, OneLake, and Fabric Pipelines/Dataflows.
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- Strong data modeling skills - medallion/lakehouse architecture and dimensional modeling.
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- Proficiency in Python and advanced SQL.
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- Experience with workflow orchestration (Airflow and/or Azure Data Factory).
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- Experience with data governance tooling (Unity Catalog and/or Microsoft Purview).
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- Experience with streaming ingestion (Kafka / Event Hubs and Spark Structured Streaming).
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- Ability to work independently, set technical direction, and mentor others.
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nNice to Have

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- AWS data experience - S3, Glue, Redshift, EMR, Athena, or Lake Formation (a strong plus).
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- Infrastructure-as-code and CI/CD for data (Terraform, Git-based deployment, automated testing).
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- Experience with dbt fortransformation and testing.
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- Familiarity with Power BI semantic models and BI enablement.
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- Databricks or Microsoft(Azure) certifications.
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nTechnology 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 Us

nYou'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.

📌 Hiring: Senior Data Engineer (Bengaluru)
🏢 Xencia Technology Solutions
📍 Bengaluru