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Agilisium
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Data Engineer

Data Engineer

Agilisium

0 - 5 years

0 Lacs

saidapet chennai tamil nadu

Posted:2 weeks ago| Platform: Indeed logo

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Skills Required

data engineering governance security analytics learning design etl integration pipeline programming pyspark apache airflow aws redshift azure gcp troubleshooting optimization kafka containerization orchestration docker

Work Mode

On-site

Job Type

Full Time

Job Description

Job Information

Date Opened

09/08/2025

City

Saidapet

Country

India

Job Role

Data Engineering

State/Province

Tamil Nadu

Industry

IT Services

Job Type

Full time

Zip/Postal Code

600096

Introduction to the Role

We are seeking a Data Engineer with 3–5 years of experience, based in Chennai/Hyderabad (On-site). The role involves building and optimizing scalable data pipelines, data lakes, and data warehouses while ensuring data quality, governance, and security across analytics and machine learning use cases.

Accountabilities

Design, develop, and optimize data pipelines, ETL/ELT processes, and data integration workflows.
Build and maintain data lakes, data warehouses, and real-time streaming pipelines.
Transform structured and unstructured data into clean, usable datasets for analytics and ML.
Collaborate with analytics, product, and engineering teams to define and implement data models.
Ensure data quality, governance, lineage, and security best practices.
Monitor and optimize pipeline performance and troubleshoot issues in data flow.
Document data processes and contribute to data engineering standards and frameworks.

Essential Skills / Experience

3–5 years of experience as a Data Engineer.
Strong programming skills in Python and SQL.
Hands-on experience with PySpark, Apache Airflow, or dbt.
Experience with modern cloud data platforms such as:

o AWS (Redshift, Glue, S3)

o Azure (Data Lake, Synapse)

o GCP (BigQuery, Dataflow)

Ability to work with both structured and unstructured data.
Good understanding of data governance, lineage, and security practices.
Strong troubleshooting and performance optimization skills.

Desirable Skills / Experience

Familiarity with real-time data streaming tools (Kafka, Kinesis, Pub/Sub).
Experience supporting machine learning workflows.
Exposure to containerization/orchestration tools (Docker, Kubernetes).
Cloud or data engineering certifications.

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