- 1. Objective – Big data Job Updates – part-8
- a. Senior-Big Data Engineer – AT&T
- b. Big Data Engineer – McKinsey & Company
- c. Hadoop Develope – Bank of America
- d. Hadoop developer – Dynpro
- e. Jr. Data Engineer – Visa
- f. Application Developer: Big Data BigInsights – IBM
- g. Analyst – Campaign Analytics – Mastercard
- h. Analyst – Java Developer – BlackRock
- i. Big Data Engineer – HDFC Life
- j. Data Engineer – IdentityAI – SailPoint
1. Objective – Big data Job Updates – part-8
This article covers the Latest Big Data Job updates, to help you in applying for jobs in big data. Check out list of top 10 Big Data jobs and their responsibilities.
a. Senior-Big Data Engineer – AT&T
AT&T is recruiting for Big Data Engineer, he/she will be responsible for interpreting the requirements of various Big Data Analytic, design and implementation of specific data models, developing the necessary enablers and data platform in the Big Data, develops new concepts, methods, techniques for cross-functional. Qualification – Bachelors of Science in Computer Science, Math, 2-3+ years knowledge & experience in Hadoop, 5+ years of working experience in Linux/Unix, Hadoop/Java certifications.
b. Big Data Engineer – McKinsey & Company
McKinsey & Company is looking for Big Data Engineer. Qualification – Bachelor’s degree in Computer Science, working Experience in IoT, strong programming skills in Java, Python, Ruby, Familiar with tools like OBIEE or Tableau, an experience of 5 + years with data warehouse technical architectures.
c. Hadoop Develope – Bank of America
Bank of America is hiring top talent to join their team, to work with the best information security team in the world. Job skills – working experience in Hadoop/Big Data, strong experience with SQL and Data modeling, working experience on tools like Sqoop, Impala, Kafka Hive, Spark, HBase etc. programming experience in Java, Scala, Python, or Shell Scripting.
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d. Hadoop developer – Dynpro
Dynpro is recruiting for Hadoop developer. Job description-Strong development experience in Hadoop scala, hive spark, Kaka spark, experience in agile, strong development/automation skills, comfortable with reading and writing Scala, Python or Java code, bachelor degree.
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e. Jr. Data Engineer – Visa
VISA is looking for talented Big Data Engineer. Job description – excellent business communication skills, experienced in programming languages such as Java, C++ etc. build data pipelines using big data technologies such as Apache Spark, Hive/Hadoop. Responsibilities – Keep up to date with big data technologies, interface with PMs, software developers and business customers etc.
f. Application Developer: Big Data BigInsights – IBM
IBM India’s solutions and services are recruiting for Application developer- Big Data. Required technical skills- familiar with big data knowledge, problem-solving attitude, an expert in advanced analytics technologies, an expert in Big Data projects using NoSQL, Hadoop Ecosystem.
g. Analyst – Campaign Analytics – Mastercard
Job opening in Mastercard the world’s fastest payments processing network. Hiring Analyst- Campaign analytics. Responsibilities – manage Campaign Analytics processes & sub-teams, analyze large volumes of transaction and customer.
h. Analyst – Java Developer – BlackRock
BlackRock is looking for Java Developer. It is a global leader in investment, advisory services, and risk management. Job responsibilities- design and implement SPA Web Application, plan, document and conduct unit testing. Qualification -B.S. / M.S. degree in Computer Science, Engineering, experience in software design and development, 2-5 years experience with Java/J2EE, knowledge of Spring modules like Core, MVC.
i. Big Data Engineer – HDFC Life
HDFC is recruiting Big Data Engineer. Job description – implement ETL process, manage Hadoop cluster, knowledge of Big Data tools such as Pig, Hive, and Impala, 4 to 7 years of work experience in Big data ML toolkits, Spark, NoSQL databases, understanding of Lambda architecture.
j. Data Engineer – IdentityAI – SailPoint
SailPoint is recruiting for an experienced Data engineer. Responsibilities – implement ETL processes, productizing and operationalizing machine learning algorithms, engage in technology discovery. Qualification – BS in Computer Science, strong experience in Java or Scala, 1+ year experience of data engineering, good communication skills.