ProcDNA

[India] Data Engineer I Pharma

ProcDNA
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2 months ago
Gurgaon, IndiaEntry Level

Responsibilities

  • Create robust, reusable data querying, transformation, and visualization processes.
  • Integrate multiple data sources into visualizations that communicate business insights.
  • Interact with customers to understand business problems and provide analytics solutions.
  • Work with data platform leaders to understand data flows integrating into Tableau and analytics platforms.
  • Apply data governance, quality, and security practices to analytics solutions.
  • Collaborate with global UX/UI functions to design customer visualizations using product capabilities.

Requirements

  • Require 4–8 years of data warehousing and data engineering experience.
  • Require experience gathering requirements and designing enterprise warehouse solutions from scratch.
  • Require hands-on experience with ETL tools such as ADF, Databricks, and Informatica.
  • Require experience with data pipeline and workflow management tools such as Azkaban, Luigi, and Airflow.
  • Require experience with SQL/NoSQL warehouses and platforms including Amazon Redshift, Snowflake, Apache Hive, and HDFS.
  • Require BI tool knowledge and experience leading dashboard implementations.
  • Require a deep understanding of data governance and data quality management frameworks.
  • Require strong communication, presentation, analytical, problem-solving, debugging, and business-process comprehension skills.

Tech Stack

Amazon RedshiftApache AirflowApache HiveDatabricksInformaticaSnowflakeSQL

Categories

Data Engineering
ProcDNA

About ProcDNA

201-500 employees
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