Merck KGaA

Senior Analyst

Posted On

Sept. 17, 2024

Location

Bangalore, Karnataka

Experience Level

D - Professional (4-9 years)

Job Type

full-time

Apply By

Oct. 8, 2024

Job Description

Position Title: Data Engineer In this role, you will be part of a growing, global team of data engineers, who collaborate in DevOps mode, in order to enable Merck's Life Science business with state-of-the-art technology to leverage data as an asset and to take better informed decisions. The Life Science Data Engineering Team is responsible for designing, developing, testing, and supporting automated end-to-end data pipelines and applications on Life Science’s data management and analytics platform (Palantir Foundry, AWS and other components). The Foundry platform comprises multiple different technology stacks, which are hosted on Amazon Web Services (AWS) infrastructure. Developing pipelines and applications on Foundry requires: Proficiency in SQL / Java / Python (Python required; all 3 not necessary)Proficiency in PySpark for distributed computationFamiliarity with Postgres and ElasticsearchFamiliarity with HTML, CSS, and JavaScript and basic design/visual competencyFamiliarity with common databases (e.g. JDBC, MySQL, Microsoft SQL). Not all types required.Familiarity with any cloud infrastructure/tools with respect to data engineering This position will be project based and may work across multiple smaller projects or a single large project utilizing an agile project methodology. Roles & Responsibilities: Develop data pipelines by ingesting various data sources – structured and un-structured – into Palantir FoundryParticipate in end-to-end project lifecycle, from requirements analysis to go-live and operations of an applicationActs as business analyst for developing requirements for Foundry pipelinesReview code developed by other data engineers and check against platform-specific standards, cross-cutting concerns, coding and configuration standards and functional specification of the pipelineDocument technical work in a professional and transparent way. Create high quality technical documentationWork out the best possible balance between technical feasibility and business requirements (the latter can be quite strict)Deploy applications on Foundry platform infrastructure with clearly defined checksImplementation of changes and bug fixes via Merck's change management framework and according to system engineering practices (additional training will be provided)DevOps project setup following Agile principles (e.g. Scrum)Besides working on projects, act as third level support for critical applications; analyze and resolve complex incidents/problems. Debug problems across a full stack of Foundry and code based on Python with SparkWork closely with business users, data scientists/analysts to design physical data models Education, Professional Experience and Skills requiredBachelor’s or master’s degree in computer science, Information Technology, or a related field.4 + years of experience in Data engineering and Data Analytics with a focus on the Pharm/Life Science sector.Proficiency in SQL and experience with relational databasesStrong programming skills in languages such as Python, Java, or Scala.Hands-on experience with ETL tools and frameworksExperience with big data technologies (e.g., Hadoop, Spark, Kafka).Working knowledge with cloud platforms and services (e.g., Palantir, AWS, Azure, Google Cloud).Knowledge of data warehousing solutions (e.g., Snowflake, Big Query etc).Understanding of data governance, data security, and regulatory requirements.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills. Specific information related to the position: Physical presence in primary work location (Bangalore) Preferred SkillsExperience with data visualization tools (e.g., Tableau, Power BI).Knowledge of machine learning frameworks and techniques.Certification in cloud platforms (e.g., AWS Certified Big Data, Google Professional Data Engineer).

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