Data Engineer / Chennai / Immediate joiner

Mount Talent Consulting; Chennai District; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Mount Talent Consulting seeks a Data Engineer with 1–3 years of experience to design, build, and optimize scalable data pipelines using PySpark and AWS services. You will work on ETL/ELT processes, ensure data quality, and collaborate with analytics teams.

The role focuses on transforming large datasets for reporting and analytics on cloud platforms, with opportunities to improve data workflows, performance, and security in a fast-paced environment in Chennai.

Qualifications

• 1–3 years of experience in Data Engineering or related field.
• Hands-on experience with PySpark and AWS services.
• Strong ETL/ELT development knowledge and data pipeline implementation.
• Solid understanding of SQL and data warehousing concepts.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using PySpark.
• Process and transform large datasets efficiently for analytics and reporting.
• Develop and optimize data workflows on AWS cloud services.
• Collaborate with cross-functional teams to understand business and data requirements.
• Ensure data quality, integrity, and security across data platforms.
• Monitor, troubleshoot, and optimize existing data pipelines.
• Participate in performance tuning and automation of data engineering processes.
• Maintain technical documentation for data solutions and workflows.

Skills

Analytical thinking

Problem solving

Communication

Teamwork

Education

Any Engineering Degree (Full-time)

Tools

PySpark

AWS

SQL

Job description

Job Description Data Engineer

Job Title: Data Engineer
Location: Chennai – Parrys Corner
Experience: 1–5 Years
Notice Period: Immediate to 30 Days (N-4)
Qualification: Any Engineering Degree (Full-time)

Job Summary

We are looking for a skilled and motivated Data Engineer with 1–3 years of experience in building, optimizing, and maintaining scalable data pipelines. The ideal candidate should have hands‑on experience with PySpark and AWS services, along with a strong understanding of ETL processes, big data technologies, and cloud‑based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using PySpark.
• Process and transform large datasets efficiently for analytics and reporting.
• Develop and optimize data workflows on AWS cloud services.
• Collaborate with cross‑functional teams to understand business and data requirements.
• Ensure data quality, integrity, and security across data platforms.
• Monitor, troubleshoot, and optimize existing data pipelines.
• Participate in performance tuning and automation of data engineering processes.
• Maintain technical documentation for data solutions and workflows.

Required Skills

• 1–3 years of experience as a Data Engineer.
• Strong hands‑on experience in PySpark.
• Good knowledge of AWS services such as S3, Glue, EMR, Lambda, Redshift, or related services.
• Experience in ETL development and data pipeline implementation.
• Good understanding of SQL and database concepts.
• Familiarity with data warehousing and big data ecosystems.
• Strong analytical and problem‑solving skills.
• Good communication and teamwork abilities.

Preferred Skills

• Experience with workflow orchestration tools such as Apache Airflow.
• Knowledge of Python programming.
• Exposure to Git, CI/CD, and Agile methodologies.
• Understanding of data modeling and cloud data architecture.

Employment Details

• Location: Chennai – Parrys Corner
• Experience: 1–5 Years
• Qualification: Any Engineering Degree (Full-time)
• Notice Period: Immediate to 30 Days (N-4)