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Senior Data Engineer builds and maintains AWS-based data pipelines using Redshift, Oracle PL/SQL, and PostgreSQL, optimizing queries and ETL workflows for scalable analytics.
Designs, builds, and maintains data pipelines and analytics solutions using AWS, SQL, and big data tools to process structured and unstructured data.
Designs and builds data pipelines and analytics infrastructure using AWS services, SQL, Python, and big-data tools to support predictive modeling and business insights.
Build and optimize large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting for a UAE-based client.
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Lead a team building and optimizing large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting.
Build and maintain data pipelines, clean and transform raw data, and create dashboards to help teams make data-driven decisions using SQL, Python/R, and tools like Databricks and Tableau.
Lead the design and optimization of scalable data platforms on AWS, building ETL pipelines and warehouses using Redshift, Oracle PL/SQL, and PostgreSQL PL/pgSQL.
Lead a team to design, build, and optimize scalable data platforms using AWS Redshift, Oracle PL/SQL, and PostgreSQL PL/pgSQL for enterprise data solutions.
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Designs and maintains data pipelines integrating Salesforce Data Cloud with AWS Redshift and S3, using SQL and Python.
Build and maintain Salesforce Data Cloud pipelines, integrate with AWS Redshift/S3, and develop ETL/ELT workflows using Python and SQL.
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Build and maintain scalable data pipelines and warehouses using Python, SQL, and cloud tools to feed analytics and ML systems.
About Us At 'Exper Labs’ we are committed to develop high quality software products using latest technologies. Our mission is to develop mobile and web based applications, which add value to our clients through…
Build and maintain analytics-ready datasets for machine learning and reporting using SQL and Python, ensuring data quality and enabling insights across industries.
Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding large-scale data transformations for regulated industries.
Builds and optimizes AWS-based data pipelines and lake architectures using PySpark, SQL, and Delta Lake to enable reliable, data-driven decisions.
Build and maintain cloud data pipelines in Snowflake, transforming raw data into analytics-ready datasets for analysts and scientists across Medtronic’s healthcare products.
Designs scalable data pipelines and migrates analytics workloads from Redshift to a Databricks Lakehouse on AWS using PySpark and Spark.
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