Merck KGaA

Analyst

Posted On

May 20, 2024

Location

Bangalore, Karnataka

Experience Level

C - Professional (1-3 years)

Job Type

full-time

Apply By

July 2, 2024

Job Description

Job Title: Data Engineer/ DevOps - Enterprise Big Data PlatformJob Location: BangaloreRight to Hire requirementIn this role, you will be part of a growing, global team of data engineers, who collaborate in DevOps mode, in order to enable 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, Hadoop and other components).The Foundry platform comprises multiple different technology stacks, which are hosted on Amazon Web Services (AWS) infrastructure or own data centers. 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 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 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, Pyspark, and JavaWork closely with business users, data scientists/analysts to design physical data modelsEducation Bachelor (or higher) degree in Computer Science, Engineering, Mathematics, Physical Sciences or related fields Professional Experience 5+ years of experience in system engineering or software development3+ years of experience in engineering with experience in ETL type work with databases and Hadoop platforms.SkillsHadoop GeneralDeep knowledge of distributed file system concepts, map-reduce principles and distributed computing. Knowledge of Spark and differences between Spark and Map-Reduce. Familiarity of encryption and security in a Hadoop cluster.Data management / data structuresMust be proficient in technical data management tasks, i.e. writing code to read, transform and store dataXML/JSON knowledgeExperience working with REST APIsSparkExperience in launching spark jobs in client mode and cluster mode. Familiarity with the property settings of spark jobs and their implications to performance.Application DevelopmentFamiliarity with HTML, CSS, and JavaScript and basic design/visual competencySCC/GitMust be experienced in the use of source code control systems such as GitETL Experience with developing ELT/ETL processes with experience in loading data from enterprise sized RDBMS systems such as Oracle, DB2, MySQL, etc.AuthorizationBasic understanding of user authorization (Apache Ranger preferred)Programming Must be at able to code in Python or expert in at least one high level language such as Java, C, Scala.Must have experience in using REST APIsSQL Must be an expert in manipulating database data using SQL. Familiarity with views, functions, stored procedures and exception handling.AWS General knowledge of AWS Stack (EC2, S3, EBS, …)IT Process ComplianceSDLC experience and formalized change controlsWorking in DevOps teams, based on Agile principles (e.g. Scrum)ITIL knowledge (especially incident, problem and change management)Languages Fluent English skills Specific information related to the position: Physical presence in primary work location (Bangalore)Flexible to work CEST and US EST time zones (according to team rotation plan)Willingness to travel to Germany, US and potentially other locations (as per project demand) Behavioural Competencies:Results-drivenWe are an equal opportunity employer that values workforce diversity. We want everyone to be able to bring their best self to work every day which is why equality and inclusion is at the forefront of all our activities. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, color, religion, sex, age, disability, marital status, sexual orientation, and gender identity.

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