Data Engineer – Bangalore, Pune, Hyderabad, Chennai

Actively Reviewing

Zetamicron

Chennai Full-Time 4–8 yrs exp Posted 8 hours ago · Apply by Sep 14, 2026

Job Description

Experience: 4.5+ Years

Employment Type: Full-Time

Location: Bangalore, Pune, Hyderabad, or Chennai, India

About The Role

We are seeking a skilled Data Engineer to join our innovative team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven solutions. If you are passionate about working with large datasets, optimizing data workflows, and collaborating with cross-functional teams, this is your opportunity to make a significant impact!

Core Responsibilities

Design, develop, and maintain scalable and efficient data pipelines to process and transform large volumes of data.
Build and optimize data models to support analytics, reporting, and machine learning applications.
Implement ETL/ELT processes to integrate data from various sources into data warehouses or lakes.
Ensure data quality, integrity, and security across all data processes.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Optimize data storage and retrieval processes for performance and cost efficiency.
Implement and maintain CI/CD pipelines for data workflows and automation.
Monitor and troubleshoot data pipeline issues to ensure reliability and performance.
Stay updated with the latest data engineering tools, technologies, and best practices.

Required Technical Skills

4.5+ years of experience in data engineering or related roles.
Strong proficiency in programming languages such as Python, Java, or Scala.
Expertise in SQL for data querying, transformation, and optimization.
Experience with big data technologies (e.g., Apache Spark, Hadoop, or Flink).
Hands-on experience with data pipeline tools (e.g., Apache Airflow, Apache NiFi, or Luigi).
Proficiency in working with cloud-based data platforms (e.g., AWS, Azure, or Google Cloud).
Experience with data warehousing solutions (e.g., Snowflake, Redshift, or BigQuery).
Familiarity with data modeling, schema design, and database management (SQL/NoSQL).
Knowledge of version control systems (e.g., Git) and CI/CD methodologies.
Strong understanding of data integration, ETL/ELT processes, and data governance principles.

Preferred Qualifications

Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis).
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Knowledge of data lake architectures and tools (e.g., Delta Lake, Apache Iceberg).
Experience with infrastructure as code (e.g., Terraform, CloudFormation).
Understanding of machine learning pipelines and integration with data engineering workflows.
Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics platforms.
Exposure to Agile/Scrum methodologies and tools like Jira.
Relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).

Comments

Immediate joiners preferred.
Please include a link to your portfolio or GitHub profile showcasing relevant data engineering projects.
Shortlisted candidates will be required to complete a technical assessment.

How To Apply

Interested candidates are requested to submit their updated resume through the application form on our website, including the following details:

Current CTC
Expected CTC
Notice Period
Links to relevant projects or portfolio

Join our team and contribute to building cutting-edge data solutions that drive innovation and impact!

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Required Skills

Machine Learning Schema design Power BI Data Analysis Python Java ELT CI/CD SQL Apache AWS NoSQL Git Docker Kubernetes Terraform GitHub Tableau Scrum JIRA