Merck KGaA

Associate Data Steward

Posted On

July 2, 2024

Location

Bangalore, Karnataka

Experience Level

C - Professional (1-3 years)

Job Type

full-time

Apply By

Jan. 28, 2025

Job Description

Job Title: Data Analyst / EngineerJob Location: BangaloreIn this role, you will be part of a growing, global team of data engineers, who collaborate in DevOps mode, to enable 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 Python and SQLProficiency in PySpark for distributed computationFamiliarity with common databases (e.g., Oracle, MySQL, SQL Server). Not all types requiredFamiliarity with any cloud infrastructure/tools with respect to data engineering and data visualizationFamiliarity with HTML, CSS, Typescript and JavaScript and basic design/visual competencyFamiliarity with Postgres and ElasticsearchIn this position, you may be required to work across multiple use cases and data analytics products, utilizing an agile project methodology.Roles & Responsibilities: Participate in end-to-end project lifecycle, from requirements analysis to go-live and operations of an applicationBuilding data pipelines using PySpark code to UI development using low code and no code application building services in foundryEnsuring code quality and overall project quality as per defined maturity standardsDirect interaction with business stakeholders and product managers to clarify requirements.Review code developed by other data engineers and check against platform-specific standards, coding and configuration standards.Document 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)Develop data pipelines by ingesting various data sources – structured and un-structured – into Palantir FoundryBesides working on projects, provide support for critical live applications; analyze and resolve complex incidents/problems. Work closely with business users, product managers, Solution architects, data scientists/analysts. Education B.Sc , BE(or higher), degree in Computer Science, Engineering, Mathematics, or related fields Professional Experience 5+ years of experience in software engineering and application development3+ years of experience in data and analytics.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.SparkDeep understanding of Apache Spark framework and proficiency in building spark pipelines.Programming Must be proficient in data engineering tasks using Pythion and Spark.XML/JSON knowledgeExperience working with REST APIsSQL Must be an expert in manipulating database data using SQL. Familiarity with views, functions, stored procedures, and exception handling.Application DevelopmentFamiliarity with HTML, CSS, and JavaScript and basic design/visual competency. Experience with any data visualization tool like Tableau is a plus.AWS General knowledge of AWS Stack (EC2, S3, Glue, lambda, Athena)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 authenticationIT 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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