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BigData Engineer - Pune

8-13 years

Pune

1 vacancy

BigData Engineer - Pune

Luxoft

posted 14d ago

Job Role Insights

Flexible timing

Job Description

  • Responsibilities:• Highly capable in learning new technologies & frameworks and implementing them as per the project requirements by adhering to quality standards.
    • Experience in all phases of data warehouse development lifecycle, from gathering requirements to testing, implementation, and support
    • Adept in analyzing information system needs, evaluating end-user requirements, custom designing solutions and troubleshooting information systems.
    • Develop and implement data pipelines that extracts, transforms, and loads data into an information product that helps to inform the organization in reaching strategic goals.
    • Investigate and analyze alternative solutions for data storage, processing etc. to ensure most streamlined approaches are implemented.
    • Ensure operational resiliency of existing data pipelines by monitoring and resolving any issues.
    • Communicate, collaborate and work effectively in a global environment.
    • Lead projects through design, implementation, automation, and maintenance for large scale ETL processes supporting multiple business units.
    • Leverage industry best practices including proper use of source control, participation in code reviews, data validation and testing.
    • Implement best practices in Data Governance to ensure the data is available, usable and secure according to internal policies.
    • Mentor other Data Engineers on the team and ensure the efficient execution of their duties.
    • Assist in leading the development team and serve as a technical resource for team members.
    • Leverage new technologies and approaches to innovating with increasingly large data sets.
    • Ability to write algorithms with different rules.
    • Data warehousing principles & concepts and modification of existing data warehouse structures.
  • Mandatory Skills Description:• Must have experience deploying and working with big data technologies like Hadoop, Spark, and Sqoop.
    • Experience with streaming frameworks like Kafka.
    • Experience designing and building ETL pipeline using NiFi.
    • Highly proficient in OO programming (Python, PySpark Java, and Scala).
    • Experience with the Hadoop Ecosystem (HDFS, Yarn, MapReduce, Spark, Hive, Impala).
    • Proficiency on Linux, Unix command line, Unix Shell Scripting, SQL and any Scripting language.
    • Proficiency on Linux, Unix command line, Unix Shell Scripting, SQL and any Scripting language.
    • Experience designing and implementing large, scalable distributed systems.
    • Ability to debug production issues using standard command line tools.
    • Create design documentation and maintain process documents.
    • Ability to debug Hadoop / Hive job failures.
    • Ability to use Cloudera in administering Hadoop.
  • Nice-to-Have Skills Description:• Cloud technologies like Databricks, AWS, Azure and GCP.


Employment Type: Full Time, Permanent

Read full job description

Prepare for Big Data Engineer roles with real interview advice

Top Luxoft Big Data Engineer Interview Questions

Q1. What algo Java 8 Garbage collector follow
Q2. What happens to a HTTP request when it leaves a client making a call and before reaching the server?
Q3. Explain you project architecture ? Show some sample codes of the same.
View all 61 questions

What people at Luxoft are saying

Big Data Engineer salary at Luxoft

reported by 3 employees with 3-8 years exp.
₹9 L/yr - ₹32 L/yr
74% more than the average Big Data Engineer Salary in India
View more details

What Luxoft employees are saying about work life

based on 642 employees
84%
95%
80%
93%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Luxoft Benefits

Submitted by Company
Friendly Environment
Global Relocation
Luxoft Training Center
Recognition and Evaluation
Mentoring Program
Self-Learning Library +5 more
Submitted by Employees
Health Insurance
Work From Home
Soft Skill Training
International Relocation
Job Training
Team Outings +6 more
View more benefits

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Luxoft Pune Office Location

View all
Pune, Maharashtra Office
Luxoft India LLP, Upper Ground Floor, Block 1/B, Embassy - Quadron Business Park, Plot no.28, Rajiv Gandhi Info Tech Park - SEZ, Phase II, Hinjewadi, Pune Pune, Maharashtra
411057

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