[India] Data Engineer I Pharma at ProcDNA in Gurugram, Haryana, India

Job description

• Do you want to be a part of commercializing the next generation of life-saving therapies? Do you enjoy working on complex data sets to solve diverse real-world problems and drive business performance? Do you dream of fueling the growth of an early-stage startup? If this describes you, come join us in this exciting journey towards becoming a leader in analytics and technology consulting in the life sciences industry!
• If you are working in healthcare/life-sciences consulting domain but not getting a 360-degree view of the industry this might be a good role for you. At ProcDNA, you will work as a client champion and work across various domains to get a holistic understanding of client needs, you will work directly with senior team members and get an accelerated learning path, which of course will ensure fast-paced personal and professional growth.
• 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.

Responsibilities

• • 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

Requirements

• • 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.

Skills

Required

• Data warehousing
• Data engineering
• ETL tools: ADF, Databricks, Informatica
• SQL/NoSQL
• Amazon Redshift
• Snowflake
• Apache Hive
• HDFS
• BI tools
• Data governance
• Data quality management
• Strong problem-solving attitude