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Urgent! Sr. Hadoop Spark / Scala Engineer Job Opening In Noida – Now Hiring Anicalls (Pty) Ltd
Candidate should be able to:
Coordinate Development, Integration, and Production deployments.
Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance.
Build applications using Maven, SBT and integrated with continuous integration servers like Jenkins to build jobs.
Execute Hadoop ecosystem and Applications through Apache HUE
Build Machine Learning Algorithms using Spark.
Perform migration from Legacy Databases RDBMS to Hadoop Ecosystem
Create mapping documents to outline data flow from source to target.
Use Cloudera Manager, an end-to-end tool to manage Hadoop operations in Cloudera Cluster
Design and deploy enterprise-wide scalable operations
Work on leading BI technologies like MSTR, Tableau over Hadoop Ecosystem through ODBC/JDBC connection
Perform Performance tuning of Impala queries
Work on hive performance optimizations like using distributed cache for small datasets, Partition, Bucketing in Hive, and Map Side joins.
Create various database objects like tables, views, functions, and triggers using SQL
Understand business needs, analyze functional specifications and map those to development and designing Apache Spark programs and algorithms.
Install, configure, and use Hadoop components like Spark, Spark Job server, Spark Thrift server, Phoenix on HBase, Flume, Sqoop
Write SPARK jobs to fetch large data volumes from the source
preparing technical specifications, analyzing functional specs, development, and maintenance of code
Develop end to end data pipeline using Spark, Hive, and Impala
Design and documented operational problems by following standards and procedures using software reporting tool JIRA
Use Rest services to access HBASE data and used the data for further processing in the downstream systems
Data wrangling and creating workable datasets and work on different file formats like Parquet, ORC, Sequence files, and different serialization formats like Avro
Perform Feasibility Analysis (For the deliverables) - Evaluating the feasibility of the requirements against complexity and timelines.
complete the full lifecycle of software development and deliver on time
work with end-users to gather requirements and convert them to working documents
interface with various solution/business areas to understand the requirements and prepare documentation to support development
work in a fast-paced, team-oriented environment
Candidate should have:
Experience in Hadoop, HBase, MongoDB, or other NoSQL platforms
Experience with Spark and Spark SQL
Excellent communication skills with both Technical and Business audience
hands-on experience in Java, Spark, Scala, AKKA, Hive, Maven/SBT, Amazon S3
Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
Good experience in debugging issues using the Hadoop, Spark Log files
Knowledge in Sqoop, Flume preferred
Experience in Kafka, ReST services is a plus.
Experience in Apache Phoenix, Text Search (Solr, ElasticSearch, CloudSearch)
Expertise in Shell-Scripts, Cron Automation, and Regular Expressions
3+ years strong native SQL skills
1+ years experience with Hadoop, Hive, Impala, HBase, and related technologies, MapReduce/YARN, Lambda architectures, MPP shared-nothing database systems, and NoSQL systems
3+ years experience with Scala, Spark, Linux
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Unlock Your Sr Hadoop Potential: Insight & Career Growth Guide
Real-time Sr Hadoop Jobs Trends in Noida, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sr Hadoop in Noida, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 55256 jobs in India and 927 jobs in Noida. This comprehensive analysis highlights market share and opportunities for professionals in Sr Hadoop roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Anicalls (Pty) Ltd is currently hiring and seeking a Sr. Hadoop Spark / Scala Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Anicalls (Pty) Ltd adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr. Hadoop Spark / Scala Engineer Jobs India varies, but the pay scale is rated "Standard" in Noida. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr. Hadoop Spark / Scala Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Sr. Hadoop Spark / Scala Engineer interview at Anicalls (Pty) Ltd, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Anicalls (Pty) Ltd's products or services and be prepared to discuss how you can contribute to their success.
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