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Data Engineer-Data Platforms-Azure

Data Engineer-Data Platforms-Azure

IBM

3 - 6 years

14 - 18 Lacs

mumbai

Posted:10 hours ago| Platform:

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Skills Required

pyspark sql spark python data bricks hive scala catalog azure data factory kinesis java data modeling oracle adf hadoop etl big data snowflake data services azure data lake event hub microsoft azure kafka sqoop aws data integration

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview
We are looking for a Data Engineer with strong hands-on Databricks experience who will design and optimize scalable data pipelines, work with Delta Lakehouse architectures, and enable advanced analytics across Azure or AWS platforms.
Key Responsibilities

Develop ETL/ELT pipelines in Databricks using PySpark, Spark SQL, Delta Lake .

Use Delta Live Tables for simplified pipeline orchestration.

Implement Databricks Auto Loader for real-time/batch data ingestion.

Build Databricks SQL dashboards and queries for reporting and analytics.

Manage Databricks clusters, jobs, and workflows ensuring cost efficiency.

Work with cloud-native services ( ADF, Synapse, ADLS or AWS Glue, S3, Redshift ) for data integration.

Apply Unity Catalog for role-based access and lineage tracking.

Collaborate with data scientists to support ML workloads using MLflow .

Required education Bachelor's Degree Required technical and professional expertise Mandatory Skills

Strong Databricks expertise PySpark, Spark SQL, Delta Lake (ACID, schema evolution, time travel).

Exposure to Delta Live Tables, Auto Loader, Unity Catalog, MLflow .

Hands-on with Azure or AWS data services .

Strong SQL and Python programming for data pipelines.

Knowledge of data modeling (star/snowflake, lakehouse) .

Preferred technical and professional experience Good to Have

Streaming data experience (Kafka, Event Hub, Kinesis).

Familiarity with Databricks REST APIs .

Certification: Databricks Data Engineer Associate , Azure DP-203 / AWS Analytics Specialty.

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Data Engineer-Data Platforms-Azure