11 Oct
Mindteck
Delhi
Senior Data Engineer (Scala)
>
> Details below:Location:
>
> India (WFH)Mode:
>
> PermanentMust: Immediate - 30 days3x headcounts in 10+ yrs band
>
> (should be flexible for IST and Europe Time Zone)Salary:
>
> INR 24-28 LPAInterview rounds: 2 or 3
>
> Job Description:Primarily experts of Spark 3.X,
>
> SCALA,
>
> Delta lake implementation, streaming solution implementation for IOT in Spark streaming. Kafka expertise.Any experience with MFG BI, DWH and Datalake implementation would be a bonus.
>
> KEY RESPONSIBILITIES:Understand the factories , manufacturing process , data availability and avenues for improvementBrainstorm , together with engineering,
manufacturing and quality problems that can be solved using the acquired data in the data lake platform.Define what data is required to create a solution and work with connectivity engineers , users to collect the dataCreate and maintain optimal data pipeline architecture.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalabilityWork on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available dataDeploy and monitor the solutionWork with data and analytics experts to strive for greater functionality in our data systems.Work together with Data Architects and data modeling teams.
>
> SKILLS /COMPETENCIESGood knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industryAbility to bring cross industry learning to benefit the use cases aimed at improving manufacturing processProblem Scoping/definition Skills:Experience in problem scoping, solving, quantificationStrong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data storesAbility to foresee and identify all right data required to solve the problemData Wrangling Skills:Strong skill in data mining, data wrangling techniques for creating the required analytical datasetExperience building and optimizing ‘big data’ data pipelines,
architectures and data setsAdaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomesProgramming Skills:Experience with big data tools: Spark,Delta,CDC,NiFi, Kafka, etcExperience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL.Experience with object-oriented languages:
>
> Scala,
>
> Java, C++ etc.Visualization SkillsKnow how of any visualization tools such as PowerBI, TableauGood storytelling skills to present the data in simple and meaningful mannerData Engineering SkillsStrong skill in data analysis techniques to generate finding and insights by means of exploratory data analysisGood understanding of how to transform and connect the data of various types and formGreat numerical and analytical skillsIdentify opportunities for data acquisitionExplore ways to enhance data quality and reliabilityBuild algorithms and prototypesReformulating existing frameworks to optimize their functioning.Good understanding of optimization techniques to make the system performant for requirements.
>
> About MindteckJoin Us! We are a growth-oriented company that needs the valuable contributions from you to join our team.While others say it, we do it: We Care. We have helped thousands of talented individuals carve out their role and have a healthy work-life balance.Just like life, you will experience a good mix of challenges and opportunities. But we will be rooting for you along the way.
>
> Apply Today!
>
> Presently, Mindteck employs over 1,000 individuals throughout offices in:IndiaUK & EuropeUS & CanadaSingapore & MalaysiaMiddle EastIt also has four development centers (US, Singapore and India (Kolkata, Bangalore)).The company is listed on the Bombay Stock Exchange (BSE 517344) and is among a select group of global companies appraised at Maturity Level 5, Version 1.3 of the CMMI Institute’s Capability Maturity Model Integration (CMMI) is an Equal Employment Opportunity (EEO). All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with a disability, or any other trait protected by law