Data Engineer (GCP) Immediate Joiner

About the company

C1X AdTech Pvt Ltd is a fast-scaling product and engineering-led AdTech business focused on modern advertising and marketing technology. The company builds platforms that help enterprise customers connect with personalization engines, run cross-channel marketing programs, and improve customer engagement while supporting measurable gains in lifetime value.

The engineering environment spans user interfaces, APIs built in Java, big data systems, and real-time bidding infrastructure, with an emphasis on building performant and scalable products.

Role overview

This position is for a Data Engineer who will create, enhance, and scale data platforms and pipelines that support the company’s AdTech ecosystem. The role involves close coordination with product, analytics, and engineering teams to ensure data remains accurate, dependable, and useful for business and product decisions. The work demands solid technical depth, strong analytical thinking, and practical experience with current data engineering methods.

Key responsibilities

• Design, build, and improve large-scale batch and streaming data pipelines using Apache Spark, with Google Cloud Platform as the required environment; AWS exposure is also acceptable.
• Create, coordinate, and automate data movement across multiple applications, systems, and storage layers.
• Set up and uphold standards for data quality, dependability, and governance.
• Develop data processing solutions that are scalable, efficient, and secure.
• Work with Product, Analytics, and Engineering stakeholders to convert business needs into reliable data solutions.
• Apply CI/CD, testing, and automation practices to data workflows.
• Track system performance and improve cost efficiency where needed.
• Keep pace with new technologies and contribute to ongoing upgrades in the data platform.

Requirements

• 4 to 8 years of experience in data engineering or backend data systems.
• Strong understanding of data structures, algorithms, and system design principles.
• Proficiency in Python or Scala is preferred.
• Practical experience with big data tools such as Spark, Hadoop, Hive, Sqoop, HDFS, Airflow, and Zookeeper.
• Mandatory hands-on experience with Google Cloud Platform services, including BigQuery, Dataflow, Composer, Dataproc, Pub/Sub, and Cloud Storage.
• Exposure to Databricks Notebooks and the Jobs API is a strong advantage.
• Strong SQL knowledge across relational and non-relational systems such as Postgres, MySQL, Redshift, and Redis, including query tuning and schema design.
• Comfort with Docker, Kubernetes, and orchestration tools such as Airflow or Luigi.
• Good working knowledge of Git and collaborative development practices.
• Strong communication, analytical, and problem-solving ability.

Role details

Role: Senior Data Engineer

Industry type: Software Product (AdTech / MarTech)

Department: Engineering Data & Software

Employment type: Full Time, Permanent

Role category: Data Engineering / Software Development

Eligibility

Candidates with a B.Tech / B.E. in any specialization may apply.

Additional information

Location: Chennai, India

Immediate joiners are being considered for this opening.

Compensation offered: INR 10,00,000 to INR 20,00,000 per year.

This opportunity is for a full-time permanent position.