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Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
Design, build, and optimize scalable data pipelines and cloud data platforms on AWS using Python, PySpark, and services like Glue, EMR, S3, Redshift, and Athena.
Data Analyst maintaining a cloud data warehouse, ETL pipelines, and BI dashboards for a B2B food and agriculture trading platform, using SQL, Python, Snowflake, and Power BI.
Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today’s growing pressures. As one of EdTech’s most steadily growing companies, our roots in higher ed ground us…
Build and maintain data infrastructure—ETL pipelines, cloud data warehouse, and automated reporting—for a private credit investment firm in Gurugram, working with loan-level datasets and integrating servicer/financial data sources using SQL, Python, and cloud warehouses.
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.
Data Analyst/Data Engineer Intern building and maintaining SQL/Python data pipelines on AWS (RDS, Redshift), creating Frappe/ERPNext operational dashboards, and handling REST API integrations — all on-site in Gurugram.
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.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Lead an AWS-based data platform—designing metadata-driven ingestion pipelines from S3 through Redshift, owning orchestration in Airflow, governance via Lake Formation, and mentoring engineers—using AWS, Python, SQL, and Airflow.
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.
The Senior Data Solutions and Cloud Architect/Engineer will design and manage scalable cloud-based data environments on Azure to support advanced analytics and business decision-making. The role involves leading technical teams, building data pipelines, and ensuring compliance with security and GxP standards within a MedTech environment.
Senior Data Engineer designing and building data pipelines, data warehouses, and ETL/ELT processes on Azure, using SQL, Python, Spark, and tools like Data Factory, Databricks, and dbt.
Senior Data Engineer building data products and BI/analytics solutions for a real-estate investment manager, using Snowflake, SQL, dbt, and ETL tools in an Agile team.
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.
Lead Data Engineer building end-to-end data platforms using Medallion architecture, dbt, Python, and cloud services (AWS/GCP/Azure) for client engagements, with hands-on coding, architectural decisions, and mentoring responsibilities.
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.
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.
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