Data Engineer – Bangalore, Pune, Hyderabad, Chennai

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 prospect 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