Merck Hiring Drive 2024 For Analyst – Data Engineer | Location Bengaluru

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Merck Hiring Drive 2024: Merck Hiring Drive 2024 for its Analyst – Data Engineer. Merck Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.Sc degree in Any Specialization. if you are interested, please apply as soon as possible.

Company Name: Merck

Role: Analyst – Data Engineer

Location: Bengaluru

Experience: 1 – 3 years

Qualification: B.Sc in Any Specialization

Batch: Any

Job Type: Full Time

Salary: 3.2 To 9.0 LPa (Expected)

Merck Hiring Drive 2024

Job Description:

  • Develop data pipelines by ingesting various data sources structured and un-structured into Palantir Foundry
  • Participate in end-to-end project lifecycle, from requirements analysis to go-live and operations of an application
  • Acts as business analyst for developing requirements for Foundry pipelines
  • Review code developed by other data engineers and check against platform-specific standards, cross-cutting concerns, coding and configuration standards and functional specification of the pipeline
  • Document technical work in a professional and transparent way
  • Create high quality technical documentation
  • Work 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 (eg 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 B
  • Sc(or higher) degree in Computer Science, Engineering, Mathematics, or related fields Professional Experience 5+ years of experience in system engineering or software development3+ years of experience in data and analytics
  • 0-2 years of experience for intern in data analytis SkillsHadoop GeneralDeep knowledge of big data, 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
  • Application DevelopmentFamiliarity with HTML, CSS, and JavaScript and basic design/visual competency
  • Experience with any data visualization tool like Tableau is a plus
  • SparkDeep understanding of Apache Spark framework and proficiency in building spark pipelines
  • Data management / data structuresMust be proficient in technical data management tasks, i
  • ewriting code to read, transform and store dataXML/JSON knowledge
  • Experience working with REST APIsSCC/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 and authentication
  • Programming Must be at able to code in Python 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


  • Db2
  • Coding
  • MySQL
  • Javascript

Company Overview:

  • EMD Workforce Development is a management and industrial relations consultancy that commenced operating in 1989.
  • Since then we have developed a network of talented people across Australia.
  • EMD, through its expert consulting and training services, delivers three key outcomes for clients – increased productivity and profitability, more effective organisational structures, systems and processes, and higher levels of customer satisfaction/service.

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