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We are seeking a motivated Cloud DevOps and AI Security Engineer to help support, secure, and scale our emerging AI infrastructure and development pipeline. This role is designed for a recent graduate, a master’s…
Lead the modernization of a legacy application by rebuilding it with Python-based services for validation, refactoring, and quality checks, leveraging AWS cloud services and LLM-based development workflows.
Senior Data Engineer designing and building scalable ETL/ELT pipelines, data lakes, and data warehouses on AWS (Lambda, Glue, S3, Redshift, EMR, MWAA/Airflow) with Snowflake and Python across multiple Indian cities.
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
Mid-level Data Engineer on a 6+ month contract working with Python, AWS EMR, EC2, and Lambda, focused on EMR performance and cost optimizations in a hybrid Hyderabad setup.
Design and optimize scalable AWS ETL pipelines using PySpark, orchestrate workflows with Glue/MWAA/Step Functions, and manage infrastructure via Terraform and Docker/EKS.
Databricks Data Engineering Architect defines and drives Databricks architecture and strategy, takes end-to-end ownership of Databricks solutions from design through implementation, and works with technologies like Databricks, Spark, Delta Lake, SQL, Python/PySpark, and Lakeflow.
Data Engineering Consultant at Infosys Consulting, designing and developing data pipelines using Python/PySpark on AWS within the Automation & AI Consulting Practice, collaborating with AI consultants and stakeholders across client engagements.
Designs, builds, and supports data solutions for reporting, analytics, and business decisions using AWS cloud platforms, SQL, Python, and ETL/ELT processes to ensure data accuracy and security.
Senior Data Engineer designing and maintaining real-time and batch data pipelines for SMC Global Securities' financial services and trading platforms, using SQL, Python, AWS (S3, Redshift, Athena, Glue, EMR, Lambda), Airflow, DBT, and Spark within Data Lakehouse architectures.
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
Support and improve the Databricks enterprise platform and ETL pipelines through automation, monitoring, and AI-driven initiatives, using Python, Spark/PySpark, SQL, and AWS services in a hybrid SRE-focused role.
Lead and hands-on build data & analytics solutions using Databricks, Informatica, and Tableau on AWS for Eisai's global pharmaceutical data platform, driving BI, AI, and data democratization.
Data Engineering role focused on building stream-processing systems and working with Big Data ML toolkits, primarily using AWS, Snowflake, Informatica, and Python.
Senior Data Engineer building data pipelines and ETL workflows on AWS and Databricks, working with big data technologies like Spark, Snowflake, and Airflow in a media-domain context.
AWS Data Engineer at TCS responsible for designing, building, and optimizing scalable data pipelines and analytics solutions on AWS using services like Glue, S3, EMR, Redshift, Databricks, and PySpark.
Build and maintain web scrapers for alternative datasets, clean and transform data using Python/Pandas, and ingest it into databases/warehouses with Airflow scheduling—supporting an asset management firm's investment decisions.
Senior AWS Data Engineer building data lake and database solutions on AWS (Glue, Lambda, Redshift, S3, Kafka), integrating multi-channel campaign platforms like Adobe Campaign and Salesforce Marketing Cloud for Omnicom's marketing technology delivery team.
Senior Data Engineer building scalable data infrastructure, ETL/ELT pipelines, and data warehousing solutions using Azure Data Factory, Databricks, Snowflake, Redshift, and SQL to power BI and analytics for business users.
Senior Data Engineer leading BI Analytics & DWH initiatives—designing ETL/ELT pipelines, data models, and scalable data platforms using Snowflake, Databricks, Azure Data Factory, and Python, while mentoring engineers and partnering with BI teams.
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