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Spark Jobs in Hyderabad

Explore top Spark Job opportunities in Hyderabad for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Scala + Spark Developer

Founded 2015
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Hyderabad
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4 - 9 years
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Best in industry12 - 30 lacs/annum

Greeting from Unify Technologies! We are looking out for some great talent with hands-on Scala (or Python or Java) Programming with Spark and BigData for one of our top projects which we are working with one of the Top Product Development company in Technology. We are sure that this experience will help scale-up your career as well! PFB the JD for your quick reference. What are we looking: We are looking for candidates who have a keen interest in security, privacy, scalability, and performance, cater to customer experience and pay attention to details. You’ll be part of the team that develops Software, builds automated tests, does release and reliability engineering for extraordinary frontend and backend systems scaling to billions of users and devices. Key Qualifications: Scala Programming or Excellent Java Programming including Web Services Hadoop Big Data Development - size 500 to 800TB Individual contributors with strong coding skills Location of work: Hyderabad Member of HackerRank, HackerEarth, Stackoverflow et al. Proficiency with Big Data processing technologies (Hadoop, Spark, Oozie). Experience in building data pipelines and analysis tools using Scala, Java, Python Experience building large-scale server-side systems with distributed processing algorithms. Aptitude to independently learn new technologies. Strong problem solving skills Excellent oral and written English communication skills Our Company: Unify Technologies Our Website: http://unifytech.com/ Linked In: https://www.linkedin.com/company/9206998 Offices in: Gurgaon, Pune, Hyderabad - India, and Seattle-USA Industry/Domain: Cloud/Product - Cloud Automation, Data Engineering, Mobile Few words about Unify Technologies: Unify is a pioneer in developing technology solutions towards imparting greater value and creating collaboration amongst global businesses. Unify leads the way in changing the conventional wisdom to assure greater returns on investments made. Unify helps customers focus on their business while taking care of your software needs with a global strategy to transform their company. Employment Type: Full-Time Joining time: Immediate to 30 days Work Location: Hyderabad - India Education: Bachelor's degree or equivalent in Computer Science and others related fields from reputed colleges Job Summary: A Job at UNIFY is Inspired and Innovative. If you enjoy working on unique and challenging problems? Our Project - Apple’s Enterprise Technology Services (ETS) needed engineers to be part of internet-scale systems and platforms that power all of Apple’s enterprise applications and customer-facing products including iCloud, iTunes, Retail and Online stores. Kindly check below detailed JD and company details. Let us know your interest in pursuing this position. Thanks, SudhEe Sudheendra Srinivasan Lead Recruiter | 91 333 73693 unifytech.com

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Data Engineer

Founded 2015
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Hyderabad
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4 - 10 years
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Best in industry10 - 25 lacs/annum

Passion in Data Engineering, Programming Technologies Basic Algorithms and Dara Structures, Building Logics, Logical Programming Strong Object-oriented programming and design skills, preferably in Java or Scala or Python with Spark Excellent analytical and problem-solving skills, oral and written communication skills Experience with Spark or other distributed computing environments. Experience building Scalable, reliable, distributed Unix-based systems with Big Data processing technologies (Hadoop, HBase, Cassandra, other NO SQL solutions). Experience designing and implementing data ingestion and transformation for big data platforms. (Spark, Sqoop, Oozie, Kafka, HDFS, Cassandra, PIG, Impala etc.) Proven track record designing highly parallelized data ingestion and transformation jobSr. SDE - Senior Software Development Engineer (4 to 8 Yrs)s in Spark including Spark Streaming. Production experience working with Apache Spark clusters. Should be familiar with concepts like Time Complexity, Distributed Computing Hands on with Big Data Development technologies in huge environment like 500 to 800 GB/TB/PB

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Data Scientist

Founded 2012
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Chennai, Hyderabad
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3 - 7 years
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Best in industry15 - 45 lacs/annum

Software Engineer – ML at Indix provides an opportunity to design and build systems that crunch large amounts of data everyday What We’re Looking For- 3+ years of experience Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Master’s/Phd. in Computer Science/Statistics is a plus Job Expectations Experience working in text mining and python libraries like scikit-learn, numpy, etc Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyze experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production with end to end ownership.

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Data Architect

Founded 2011
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Hyderabad
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9 - 13 years
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Best in industry10 - 23 lacs/annum

Data Architect who leads a team of 5 numbers. Required skills : Spark ,Scala , hadoop

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Big Data Evangelist

Founded 2016
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Noida, Hyderabad, NCR (Delhi | Gurgaon | Noida)
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2 - 6 years
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Best in industry4 - 12 lacs/annum

Looking for a technically sound and excellent trainer on big data technologies. Get an opportunity to become popular in the industry and get visibility. Host regular sessions on Big data related technologies and get paid to learn.

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