Gurugram, Haryana, India
Live, first seen by us 57 days agoBuild reusable data querying and transformation processes
Integrate multiple data sources into one visualization to tell a story
Discuss client business problems and propose analytics solutions
Work with data platform leaders on data flows into Tableau and analytics
Design best-in-class visualizations with UX/UI teams
Create robust, reusable data querying, transformation, and visualization processes
Integrate multiple data sources into one visualization to tell a story
Interact with customers to understand their business problems and provide best-in-class analytics solutions
Interact with Data Platform leaders and understand data flows that integrate into Tableau/analytics
Interact with UX/UI global functions and design best in class visualization for customers
4-8 years of data warehousing and data engineering
Experience in requirement gathering and designing enterprise warehouse solutions from scratch
Hands-on experience with ETL tools like ADF, Databricks, Informatica
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
Experience in Warehouse: SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, HDFS etc
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Day 57
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past ProcDNA’s usual: its jobs come down by about day 21.
From 13,630 similar postings that came down, and 5 of ProcDNA’s. Coming down is not always a hire.
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What you‘ll do: • Create robust, reusable data querying, transformation, and visualization processes • Integrate multiple data sources into one visualization to tell a story • Interact with customers to understand their business problems and provide best-in-class analytics solutions • Interact with Data Platform leaders and understand data flows that integrate into Tableau/analytics • Understand data governance, quality and security and integrate analytics with these enterprise platforms • Interact with UX/UI global functions and design best in class visualization for customers harnessing all product capabilities Must have: • 4-8 years of data warehousing and data engineering • Experience in requirement gathering and designing enterprise warehouse solutions from scratch • Hands-on experience with ETL tools like ADF, Databricks, Informatica • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. • Experience in Warehouse: SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, HDFS etc • BI tools knowledge and experience in leading implementation of dashboards • Deep understanding of data governance and data quality management frameworks • Strong communication and presentation skills • Strong problem-solving attitude • Excellent analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively develop technical solutions to their requirements.
What we are looking for: We are looking for an Engagement Lead - Technology to join our team. You are someone who has good understanding of the pharmaceutical industry, have detailed knowledge of various datasets like LAAD, DDD, XPO, etc., enjoys working on complex data sets to help clients solve diverse real-world problems and drive business performance, navigate risk, and develop pragmatic strategies through data-driven insights. What you‘ll do: • Create robust, reusable data querying, transformation, and visualization processes • Integrate multiple data sources into one visualization to tell a story • Interact with customers to understand their business problems and provide best-in-class analytics solutions • Interact with Data Platform leaders and understand data flows that integrate into Tableau/analytics • Understand data governance, quality and security and integrate analytics with these enterprise platforms • Interact with UX/UI global functions and design best in class visualization for customers harnessing all product capabilities Must have: • 4-8 years of data warehousing and data engineering • Experience in requirement gathering and designing enterprise warehouse solutions from scratch • Hands-on experience with ETL tools like ADF, Databricks, Informatica • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. • Experience in Warehouse: SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, HDFS etc • BI tools knowledge and experience in leading implementation of dashboards • Deep understanding of data governance and data quality management frameworks • Strong communication and presentation skills • Strong problem-solving attitude • Excellent analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively develop technical solutions to their requirements.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Gurugram, Haryana, India
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