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171 Hitachi Jobs
Senior Data Engineer PySpark, Informatica, Python, SQL, Azure
6-8 years
Noida
1 vacancy
Senior Data Engineer PySpark, Informatica, Python, SQL, Azure
Hitachi
posted 24d ago
Job Description
Description:
Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e g to the automotive, healthcare and logistics industries
Through our engagement, we contribute to our customer in developing the end-user modulesfirmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements
Requirements:
Our Big Data capability team needs hands-on developers who can produce beautiful functional code to solve complex analytics problems
If you are an exceptional developer with an aptitude to learn and implement using new technologies, and who loves to push the boundaries to solve complex business problems innovatively, then we would like to talk with you
You would be responsible for evaluating, developing, maintaining and testing big data solutions for advanced analytics projects
The role would involve big data pre-processing reporting workflows including collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into business insights
The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction
An appreciation of the mechanics of complex machine learning algorithms would be a strong advantage
Qualification Experience 8-10 years of demonstrable experience designing technological solutions to complex data problems, developing testing modular, reusable, efficient and scalable code to implement those solutions
Ideally, this would include work on the following technologies
Expert-level proficiency in Scala PySpark knowledge is a strong advantage
Exp in at least one of Java, Scala or Python Preferred
Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop YARN, MR, HDFS and associated technologies one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, Impala, etc Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage
Operating knowledge of cloud computing platforms (AWS orAzure or GCP)
Experience working within a Linux computing environment, and use of command line tools including knowledge of Shell/Python scripting for automating common tasks
Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works or any version control tools
In addition, the ideal candidate would have great problem-solving skills, and the ability confidence to hack their way out of tight corners
Experience:
Must Have (handson) Experience Scala or Python or PySpark expertise
Distributed computing framewor ks (Hadoop Ecosystem AND Spark components)
Cloud computing platforms AWS
Linux environment, SQL and Shell scripting
Nice to have : DevOps knowledge
Job Responsibilities:
Our Big Data capability team needs hands-on developers who can produce beautiful functional code to solve complex analytics problems
If you are an exceptional developer with an aptitude to learn and implement using new technologies, and who loves to push the boundaries to solve complex business problems innovatively, then we would like to talk with you
You would be responsible for evaluating, developing, maintaining and testing big data solutions for advanced analytics projects
The role would involve big data pre-processing reporting workflows including collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into business insights
The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction
An appreciation of the mechanics of complex machine learning algorithms would be a strong advantage
Qualification Experience 8-10 years of demonstrable experience designing technological solutions to complex data problems, developing testing modular, reusable, efficient and scalable code to implement those solutions
Ideally, this would include work on the following technologies
Expert-level proficiency in Scala PySpark knowledge is a strong advantage
Exp in at least one of Java, Scala or Python Preferred
Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop YARN, MR, HDFS and associated technologies one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, Impala, etc Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage
Operating knowledge of cloud computing platforms (AWS orAzure or GCP)
Experience working within a Linux computing environment, and use of command line tools including knowledge of Shell/Python scripting for automating common tasks
Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works or any version control tools
In addition, the ideal candidate would have great problem-solving skills, and the ability confidence to hack their way out of tight corners
Experience:
Must Have (handson) Experience Scala or Python or PySpark expertise
Distributed computing framewor ks (Hadoop Ecosystem AND Spark components)
Cloud computing platforms AWS
Linux environment, SQL and Shell scripting
Nice to have : DevOps knowledge
What We Offer
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom
Our customer list is full of fantastic global brands and leaders who love what we build for them
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays
Professional Development: Our dedicated Learning Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Data Engineer roles with real interview advice
Top Hitachi Senior Data Engineer Interview Questions
Q1. 1What is a reconciliation ? and reconciliation types?
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What people at Hitachi are saying
Senior Data Engineer salary at Hitachi
reported by
5
employees
with 5-9
years exp.
₹12
L/yr - ₹30
L/yr
30%
more
than the average Senior Data Engineer Salary in India
View more details
What Hitachi employees are saying about work life
based on 636 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Hitachi Benefits
Submitted by Company
Job Training Health Insurance Soft Skill Training 
Cafeteria
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