Top Data Engineer Jobs in Kolkata

Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

Data Engineer focusing on AI/ML to design data pipelines, integrate ML models, and maintain data infrastructure for analytics and business intelligence, collaborating with cross-functional teams and mentoring junior engineers.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

Maintain and monitor web scraping configurations, ingest and transform scraped data into the data lake, detect and resolve pipeline issues, produce stakeholder reports, and build scalable ETL pipelines and data architectures to support analytics.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

As a Senior Data Engineer, you will manage the ETL lifecycle, build batch pipelines, transform data using SQL and Python, and ensure data quality and performance for analytics.

Design, build, and optimize scalable ELT/ETL pipelines on Azure using ADF and Databricks, integrate data into Snowflake, implement Data Vault 2.0 modelling, ensure data quality and performance, and collaborate with stakeholders and analytics teams to maintain production workflows.

Design, build, and maintain scalable batch and real-time data pipelines on Azure using Kafka, Spark, Databricks and ADF. Optimize Snowflake models and SQL, process structured and semi-structured data, ensure data quality, performance, and collaborate with cross-functional teams.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.