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Senior Data Engineer

Senior Data Engineer

Albatronix

0 years

13 - 16 Lacs

pune maharashtra india

Posted:6 hours ago| Platform:

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Skills Required

data analytics azure tooling etl power reporting ml design databricks pyspark python sql scheduling storage kafka rest integration git devops monitoring drive tuning checks triage pipeline engineering automation model compensation learning spark aws airflow

Work Mode

On-site

Job Type

Full Time

Job Description

About The Opportunity

Opportunity in the Enterprise Cloud Data & Analytics sector, focused on building scalable, production-grade data platforms and analytics pipelines for high-volume business use-cases. The team operates across modern Azure data tooling to deliver reliable ETL, streaming, and analytics solutions that power reporting, ML, and operational systems.

Role Title:

Senior Data Engineer — Full-time | Pune, Maharashtra, IndiaRole & Responsibilities

Design, build and optimise scalable ETL/ELT data pipelines in Databricks using PySpark, Python and SQL for batch and near-real-time workloads.
Author and orchestrate data workflows using Azure Data Factory and Databricks jobs; manage scheduling, parameterisation and failure-recovery strategies.
Implement reliable data ingestion from diverse sources (Azure Storage, ADLS, HDFS, Kafka, REST APIs, databases) and ensure schema evolution handling.
Develop automated unit and integration tests, CI/CD pipelines and version-controlled deployments using Git and Azure DevOps to ensure production readiness.
Collaborate with data consumers, analysts and platform engineers to define data models, SLAs, monitoring and observability for pipelines.
Drive performance tuning, cost optimisation and data quality checks; triage pipeline incidents and implement long-term fixes and runbooks.

Skills & Qualifications

Must-Have

Databricks
PySpark
Python
SQL
Azure Data Factory
Azure Data Lake

Preferred

Kafka
REST APIs
Azure DevOps

Benefits & Culture Highlights

Fast-paced engineering culture with strong ownership, mentorship and opportunities to own end-to-end production systems.
Opportunity to work on cloud-native data platforms, observability and automation across the Azure ecosystem.
Hybrid work model in Pune with competitive compensation, learning budget and regular tech knowledge-sharing forums.

How to Stand Out:

Candidates who demonstrate hands-on production deployments of Databricks-based pipelines, strong PySpark optimisation experience and a track record of implementing CI/CD for data workloads will be prioritised.Skills: databricks,devops,snowflake,restapi,spark,pyspark,aws,dbt,python,azure,kafka,git,airflow,sql,ETL

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Senior Data Engineer