Top Data Engineer Jobs in Kolkata

The Data Engineer will build and scale data platforms, design robust data pipelines, collaborate with teams, and ensure data infrastructure meets performance and reliability standards.

Design and implement large-scale data solutions using Google Cloud Platform. Build and optimize data pipelines and ingestion functions for performance and cost.

The Sr. Data Engineer will design and implement data pipelines, utilizing big data tools and technologies. Responsibilities include programming in Pyspark/Scala, managing scheduling with Airflow, and troubleshooting code issues. The role supports financial and energy sectors, emphasizing innovative solutions in data engineering.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

The Data Engineer will develop and maintain data pipelines, assist clients in understanding data needs, and support data integration, analysis, and visualization using various modern technologies.

The role involves creating data pipelines, developing statistical models, collaborating with data teams, and ensuring compliance with privacy regulations.

The Data Engineer will design and implement large-scale enterprise data solutions on Google Cloud Platform, optimizing data pipelines, performing data transformations, and ensuring efficient data ingestion and curation.

Seeking a Data Engineer to enhance business insights through SAS processes, manage data operations, and mentor junior team members in a fast-paced environment.

The Data Engineer will build infrastructure tools to support trading teams, optimize data processes, and coordinate with global teams, ensuring efficient data delivery and coding standards.

Design and implement large-scale data solutions on GCP. Optimize data pipelines and ingestion functions for performance and cost.

As a Data Engineer, you will transform data into valuable insights, develop data pipelines, and support data scientists while ensuring data quality.

The Data Engineer/BI Engineer will design ETL/ELT pipelines, manage databases, and create dashboards, contributing to AI-driven data initiatives.

Design, build, and optimize data infrastructure and scalable pipelines. Support analytics and BI tools for actionable insights. Work with diverse datasets.

The Data Analytics Developer will work in a global IT team, responsible for converting technical requirements into analytics solutions using data warehousing and cloud technologies.

The role involves managing BI tools, developing ETL pipelines, creating documentation, training team members, and ensuring compliance with standards.

The Senior Data Engineer leads the development of data infrastructure, optimizes data pipelines, ensures data integrity, and mentors junior engineers while addressing complex data challenges.

As a Senior Data Engineer, you will design and implement data architectures, develop ETL processes, manage databases, ensure data quality, mentor juniors, and collaborate with teams to deliver data solutions.