Data Engineer

5 days ago

Saidapet, Tamil Nadu, India Agilisium Full time ₹ 1,04,000 - ₹ 1,30,878 per year
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

Job Description

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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