Zcodia Technologies

Zcodia Technologies is a reputed IT company operating in USA and India, specializing in web designing, mobile app development, ERP development, AI/ML, AR/VR, and digital marketing. They deliver…

AIARDigital MarketingERPMachine LearningMobile App DevelopmentVRWeb Developmentzcodiatechnologies.com

Zcodia Technologies

Zcodia Technologies is a reputed IT company operating in USA and India, specializing in web designing, mobile app development, ERP development, AI/ML, AR/VR, and digital marketing. They deliver…

AIARDigital MarketingERPMachine LearningMobile App DevelopmentVRWeb Developmentzcodiatechnologies.com

HQChennai, IN

Team Size66

Open Jobs27

Total Funding-

Latest FundraiseUnknown

Join the Team

Senior Data Engineer / Databricks Engineer (Hybrid / Remote) || Chennai || Immediate Joiners only || 5+ years

HybridChennai, Tamil Nadu, IN

Hybrid • Chennai, Tamil Nadu, IN

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Job title

Senior Data Engineer / Databricks Engineer

Work mode - Hybrid / Remote

Location - Chennai

Experience - 5+ years overall; 3–5+ years hands‑on with *Databricks + PySpark / Spark SQL*

Key responsibilities

Design and build *scalable ETL/ELT pipelines* on *Databricks (Azure/AWS/GCP)* using *PySpark, Spark SQL, and Scala/Python*.
Implement *Delta Lake* patterns (bronze/silver/gold layers, schema evolution, CDC, Z‑order, optimized storage) for high‑quality, governed data assets.
Integrate data from multiple sources (databases, APIs, files, streaming) into cloud data lakes/warehouses and orchestrate via *Databricks Workflows, ADF, Airflow, or similar*.
Monitor pipeline performance, tune Spark jobs, optimize cluster configs, and ensure cost‑efficient lakehouse operations.
Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into production‑ready data models on Databricks.
Follow DevOps practices (Git, CI/CD) and security/governance standards (Unity Catalog, RBAC, data‑lineage and monitoring).

Mandatory skills

5+ years in data engineering / data warehousing.
3–5+ years in *Databricks* (notebooks, clusters, jobs, workflows, Delta Lake).
Strong hands‑on with *PySpark / Spark SQL* and *Python / Scala*.
Experience with at least one cloud platform: *Azure (ADLS, ADF, Synapse) or AWS (S3, Glue, EMR)* or GCP.
Good understanding of *relational data‑warehouse concepts, dimensional modeling, and SQL*.