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Marketing Data Engineering Intern at Martechture working with SQL, Python, and marketing data tools. Day-to-day tasks include data querying, pipeline exposure, scripting with Python/pandas, data quality practice, market research, and content contribution.
Senior Data Engineer building and optimizing batch and streaming ETL workflows on GCP using Scala, Spark, Kafka, Airflow, and Dataproc within TCS's Data & Analytics unit.
Ab Initio Data Engineer building and tuning continuous/batch graphs and plans, using SQL and shell scripting, on a hybrid basis in Sydney.
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.
Hands-on Solutions Architect role designing and building enterprise-grade data platforms on GCP/AWS using Snowflake, Databricks, BigQuery, Airflow, and Kafka to power AI/ML initiatives, with pre-sales responsibilities at a tech consultancy in Bangalore.
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.
GCP Data Engineer at TCS Chennai working with BigQuery, Cloud Pub/Sub, Python, and DataProc to build and manage data pipelines on Google Cloud Platform.
Freelance Senior Data Engineer building and maintaining Python-based ETL pipelines and cloud data models to support an eCrime defense team's threat detection and investigation efforts.
Lead enterprise data platform and analytics initiatives with a focus on Azure Data Factory, Databricks, PySpark, and GenAI/Azure OpenAI solutions, while providing technical leadership and mentoring.
Lead Data Engineer overseeing enterprise-scale ETL and data modernization projects, architecting pipelines with Python, PySpark, Informatica, Databricks, Snowflake, ADF, and AWS Glue while mentoring a team of data engineers.
Azure Data Engineer role focused on Azure Data Factory and Azure Databricks, requiring at least 5 years of relevant experience and based in Bangalore.
Design and optimize scalable AWS ETL pipelines using PySpark, orchestrate workflows with Glue/MWAA/Step Functions, and manage infrastructure via Terraform and Docker/EKS.
Data Engineer building and optimizing Big Data pipelines with PySpark, Apache Spark, Airflow, and Python, including Spark performance tuning and CI/CD integration on cloud platforms (GCP preferred).
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.
GCP Data Engineer on an EST hybrid shift in Noida, designing data warehouse solutions, building ETL/ELT pipelines, and developing BI reporting for a US-based media client.
Power BI Lead responsible for designing reporting and analytics solutions using Power BI, developing ETL/data pipelines with SQL Server, SSIS, SSRS, and SSAS, and providing technical guidance to BI/Data Engineering developers.
Design, develop, and maintain scalable batch and streaming data engineering solutions on AWS using Python, PySpark, Databricks, Kafka, and Airflow, while leading technical discussions and supporting production platforms.
GCP Data Engineer responsible for designing, building, and maintaining scalable data pipelines, data warehouses, and big data solutions on Google Cloud using Dataflow, BigQuery, Cloud Composer, and related GCP services.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Freelance Senior Data Engineer designing scalable AWS data pipelines, ETL processes, and data warehouses using AWS Glue, Snowflake, Python/PySpark, and Terraform.
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