Data Engineer

Michael Page

India

2-8 Years

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Posted 16 hours ago
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Early Applicant

Job Description

Work with Gen AI team for building scalable solutions.
Global exposure

Job Description

Hands-on experience in data engineering.
Proven expertise in SQL, Spark, and the Hadoop ecosystem.
Experience handling multiple terabytes of data from ingestion to consumption.
Collaborate with business stakeholders to identify and document high-impact business problems and potential solutions.
Strong understanding of Data Lake/Lakehouse architecture and exposure to Hadoop (Cloudera, Hortonworks) and/or AWS.
Manage the full data lifecycle: ingestion, transformation, and consumption.
Proficient in Spark, Spark Streaming, Hive, and SQL.
Experience with big data infrastructure including MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc.
Deep knowledge of relational databases and data modeling.
Technical debugging skills and experience with Git for version control.
Create and maintain technical design documentation for data pipelines and projects.

The Successful Applicant

Education

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.

Experience

2 to 8 years of relevant experience in data engineering.

Skills and Attributes

Strong coding and debugging skills.
Proficiency in big data tools and cloud platforms.
Ability to work with large datasets and complex data architectures.
Effective communication and stakeholder engagement.
Self-driven with a continuous learning mindset.
Strong documentation and organizational skills.

What's on Offer

Competitive salary within the Financial Services industry.
Opportunity to work in the Gen AI Team of a large organization.
Exposure to cutting-edge data engineering technologies and tools.
Collaborative and professional work environment.

If you are passionate about data engineering and looking to advance your career, apply now to join a leading organization in Bangalore (MG Road )/ Bandra (East), Mumbai.

More Info

Job Type:

Permanent Job

Function:

Data Engineering

Employment Type:

Full time

About Company

Michael PageJob Source: www.michaelpage.co.in

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Job ID: 144480935

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