Big Data Engineer

Tata Consultancy Services

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

14 days+

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Job summary

Tata Consultancy Services in Bengaluru is seeking a Big Data Developer with 6 to 8 years of hands-on experience in Hadoop ecosystem, including HDFS, Hive, Spark, Sqoop, Flume, Oozie, Unix scripting and Autosys. The role requires strong data transformation, SQL skills and collaboration.

You will gather requirements, design and develop data ingestion frameworks using Spark, Hive and Sqoop, and contribute to ETL and BI concepts. Excellent communication and teamwork are essential.

Qualifications

  • Hands-on experience in Big data, Hadoop.
  • Hands-on experience in Hive, Sqoop, Spark, Hive.
  • Hands on experience with Data Transformations, data structures, Metadata, SQL, workload management.
  • Coding experience in SQL.
  • Good communication skills and team skills.
  • Effective communication and independently.

Responsibilities

  • Requirements gathering and data analysis for multiple business processes.
  • Development of Data ingestion framework using Spark, Hive, Sqoop tech stack.
  • Good analytical ability.
  • Good understanding of ETL and BI concepts.

Skills

Big Data
Hadoop
Data transformations
Metadata management
SQL proficiency
Communication
Teamwork
Independent work

Tools

HDFS
Hive
Spark
Sqoop
Flume
Oozie
Unix scripting
Autosys
SQL

Job description

Desired experience: 6 to 8 years

Required Technical Skill Set: HDFS, Hive, Spark, Sqoop, Flume, Oozie, Unix Script, Autosys

Must-Have:

  • Hands-on experience in Big data, Hadoop
  • Hands-on experience in Hive, Sqoop, Spark, Hive
  • Hands on experience with Data Transformations, data structures, Metadata, SQL, workload management
  • Coding experience in SQL
  • Good communication skills and team skills
  • Effective communication and independently
Responsibilities
  • As a Developer, must be able to do Requirements gathering and data analysis for the multiple business processes involved
  • Development of Data ingestion framework using Spark, Hive, Sqoop tech stack
  • Good analytical ability
  • Good understanding of ETL and BI concepts
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