Jobs
Required Skills
Hadoop
Snowflake
Python
Scala
Apache Spark
SQL
Shell scripting
Leadership
Team management
Data analysis
Problem-solving
Role Summary:
The Manager – Big Data Application Support leads a team responsible for optimizing, maintaining, and supporting enterprise-scale Big Data applications, focusing on Hadoop and Snowflake platforms. This strategic role drives operational excellence, adapts to evolving open-source technologies, and ensures robust application performance and reliability. The manager collaborates with cross functional teams, oversees incident and problem management, and champions continuous improvement in support processes.
Skills and Qualifications:
· Big Data/Hadoop/Snowflake Technical Lead with extensive experience on Hadoop and Snowflake platforms and related Big Data tools/technologies.
· 10+ years of experience in implementing and managing high-performance, scalable enterprise applications.
· Strong knowledge of architecture, design patterns, ETL, data modeling, and performance tuning in Hadoop and Snowflake environments.
· Experience with big data tools: Hadoop, Snowflake, Spark, Kafka, Impala, Hive, HDFS, and related technologies.
· Experience in CI/CD tools such as Maven, Git/Stash, Jenkins, Docker, etc.
· Advanced proficiency in SQL queries, Scala, Python, and shell scripting.
· Ability to analyze large volumes of data, identify patterns, resolve data quality issues, and design scalable solutions.
· Experience working in Agile environments.
· Excellent communication and presentation skills; regular updates and follow-ups with stakeholders.
· Strong documentation and analytical skills.
· Proven ability to lead, motivate, and direct team members.
· Quick learner, self-motivated, and proactive in managing problems.
Requirements:
· Bachelor’s degree in information science, Information Technology, Computer Science, or Engineering.
· Minimum of 4–5 years of experience in Hadoop and Snowflake ecosystems.
· Proficient in Python/Scala and Spark.
· Sound knowledge of Hive, Impala, Sqoop, Oozie, HDFS, Kafka, etc.
· Excellent knowledge of Hadoop and Snowflake architecture and support.
· Good understanding of distributed computing environments.
· Prior working experience with Cloudera CDH/CDP.
· Involved in problem determination using application and system error logs.
· Ability to work under pressure and manage multiple priorities.
· Good understanding of production support processes.
Must have:
· Unix/Linux, one programming language (Scala, Java, Python, C++), HDFS architecture, Kafka, Snowflake, and Spark.
· Full understanding of Relational Database Management Systems and ETL concepts.
· Experience in Spark, Hive, Impala, Sqoop, Oozie, Kafka, HDFS, Hive, Cloudera CDP.
· Familiarity with Windows Server 2012, Linux Red Hat 5x (and above).
· Excellent analytical skills and attention to detail.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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About IQVIA

IQVIA
PublicFocused on health information technology and clinical research.
10,001+
Employees
Durham
Headquarters
$17B
Valuation
Reviews
3.9
2 reviews
Work Life Balance
2.5
Compensation
2.0
Culture
2.8
Career
3.0
Management
2.5
65%
Recommend to a Friend
Pros
Structured feedback and development process
Meaningful contribution to client businesses
Problem-solving with specialized knowledge
Cons
Strict performance requirements and termination risk
High-level rubric definitions lack detail
No performance bonuses offered
Salary Ranges
42 data points
Junior/L3
Senior/L5
Junior/L3 · Analyst
2 reports
$107,910
total / year
Base
$93,834
Stock
-
Bonus
-
$97,750
$118,068
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical Manager Interview
5
Executive/GM Interview
6
Offer
Common Questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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Source: MarketBeat
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