Cloud Data Engineering Expert

2 days ago

Rajkot, Gujarat, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

Job Title: Senior Cloud Data Engineering Lead

Job Description

The ideal candidate will have around 6+ years of experience in data engineering or cloud computing data development.

Responsibilities include designing, developing, and optimizing ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory.

They will work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.

A successful candidate will build data lake and data warehouse solutions using AWS S3, Azure Data Lake,AWS Glue

Collaboration with data scientists, analysts, and application developers is crucial for supporting advanced analytics, reporting, and ML workflows.

Implementing job orchestration, monitoring, and error handling for reliable pipeline execution is also essential.

Maintenance and support of Data Pipeline, data load monitoring, and data validation and quality checks are additional responsibilities.

Identifying and optimizing ingestion pipelines in consultation with the customer and providing L2/L3 Support are also key tasks.

Required Skills & Qualifications

Bachelor's degree in a relevant field such as BTECH, BCA, MTECH,MCA,BSC,MSC.

Required skills include AWS Glue, ADF,ADB

Benefits

This role offers an immediate opportunity to join our organization.

We are looking for a skilled professional who can impact our business positively.

Others

The ideal candidate should be able to investigate Glue job failures and restart, fix minor transformation logic or input data issues, resolve dependency failures in Glue workflows, tune job configurations, and perform impact analysis and RCA.

An 8x5 support model is also expected.

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