Noida, Uttar Pradesh · On-site
Design, build, and maintain scalable data pipelines and data systems. Work with engineering and business teams to transform raw data into reliable, high-quality datasets that support analytics, reporting, and business decisions. Design, build, and maintain scalable data pipelines and data systems. Work with engineering and business teams to transform raw data into reliable, high-quality datasets that support analytics, reporting, and business decisions. Design, build, and maintain scalable data pipelines and data systems. Work with engineering and business teams to transform raw data into reliable, high-quality datasets that support analytics, reporting, and business decisions.
-Design and develop reliable ETL/ELT data pipelines. -Collect, transform, and integrate data from multiple sources. -Develop and optimize SQL queries and data models. -Monitor data pipelines and troubleshoot data-quality issues. -Build and maintain data warehouses and databases. -Collaborate with Data Analysts, Data Scientists, and software engineers. -Ensure data accuracy, consistency, security, and availability. -Optimize pipeline performance and reduce processing time. -Document data workflows, processes, and technical solutions.
-Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. -Strong knowledge of SQL and relational databases. -Experience with Python or another programming language. -Understanding of ETL/ELT concepts and data pipelines. -Knowledge of data warehousing and data modeling. -Strong problem-solving and analytical skills. -Good understanding of data quality and validation processes.
-Experience with cloud platforms such as AWS, Azure, or Google Cloud. -Familiarity with Apache Spark, Airflow, Databricks, or similar tools. -Experience with Snowflake, BigQuery, Redshift, or other data warehouses. -Knowledge of CI/CD and version-control tools such as Git. -Experience working with large datasets and distributed systems.
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