GCP Data Engineer

LTM; Maharashtra; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

LTM is seeking data engineers to design and implement scalable data pipelines on GCP, using BigQuery, Dataflow, Pub/Sub, and Airflow.4–12 years of experience required. Strong SQL/PL-SQL and Python skills, with ETL tool experience (Talend/Datastage/Informatica) and knowledge of RDBMS is essential.

Familiarity with Hadoop/NiFi, scheduling tools (UC4/Control-M), and Google Cloud SDK is valuable. GCP certifications are an advantage; agile lifecycle and incident management experience preferred.

Qualifications

• 4–12 years of data engineering experience.
• Proficient in Google Cloud BigQuery and SQL scripting.
• Experience with ETL tools like Talend, Datastage or Informatica.
• Knowledge of GCP components (GCS, BigQuery, Airflow, Pub/Sub, Dataflow, Data Proc).
• Experience with RDBMS and Kafka/NiFi is a plus.
• Familiarity with Agile lifecycle and incident/problem management.

Skills

Google Cloud BigQuery

SQL / PL-SQL

Python

Dataflow

Pub/Sub

ETL Tools

RDBMS

Kafka

Airflow

UC4

Control-M

Google Cloud SDK

Tools

Talend

Datastage

Informatica

Data Fusion

Dataflow

Data Proc

Airflow

Control-M

UC4

Job description

Role Description

For Data engineers

Experience 4 to 12 years

Mandatory Google Cloud Big Query Scripting Skills or Snowflake AWS or Cloud SQL Knowledge

Mandatory to have knowledge on any ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc

Mandatory SQL PLSQL Scripting Experience

Expert in Python Data Flow Pubsub Big Query CICD

Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK

Should have experience on any of the RDBMS

GCP Data Engineer certifications is an added advantage

Hadoop knowledge NiFiKafka experience

Strong Scheduler knowledge Preferable Control M or 1 mandatory compulsory UC4 Atomic Airflow Composer Control M

Must be aware of Agile life cycle

Changes Incident and Problem Management