Big Data Engineer // 6y

Techno-Comp Computer Services Pvt. Ltd.

Hyderabad

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A technology solutions company is seeking a Mid-Senior Level Data Engineer in Hyderabad. The ideal candidate will have over 6 years of experience with Big Data technologies, AWS services, SQL, and strong analytical skills. Responsibilities include developing applications and validating data outputs. This is a full-time position offering opportunities for professional growth.

Qualifications

  • 6+ years experience in AWS Services: RDS, AWS Lambda, AWS Glue, Apache Spark, etc.
  • 6+ years experience with SQL and NoSQL databases.
  • Experience with Spark programming paradigms and Java/Scala.
  • Familiarity with Python and Unix/Linux shells.
  • Strong analytical skills and advanced SQL knowledge.

Responsibilities

  • Write SQL queries to validate dashboard output.
  • Perform code reviews and pair programming.
  • Support and enhance current applications.
  • Design, develop, test, and implement applications.

Skills

Big Data technologies
SQL queries
AWS Services
Java
Python
Scala
DevOps

Education

B.Tech / B.E / MCA

Tools

AWS RDS
Apache Spark
Kafka
MySQL
Postgres
Elasticsearch
Bitbucket
Bamboo

Job description

Direct message the job poster from Techno-Comp Computer Services Pvt. Ltd.

Responsibilities
  • Experience with Big Data technologies will be a plus (Hadoop, Spark, Kafka, HBase, etc)
  • Write SQL queries to validate the dashboard output
  • Working experience with database environment - understanding relational database structure and hands-on SQL knowledge to extract/manipulate data for variance testing.
  • Performing code reviews and pair programming
  • Supporting and enhancing current applications
  • Design, develop, test, and implement the application; investigate and resolve complex issues while supporting existing applications.
Qualifications

B.Tech /B.E /MCA

Experience
  • 6+ year’s experience in AWS Services: RDS, AWS Lambda, AWS Glue, Apache Spark, Kafka, Spark streaming, spark, Scala, Hive and AWS etc.
  • 6+ year’s experience SQL and NoSQL databases like MySQL, Postgres, Elasticsearch
  • 6+ year’s experience with Spark programming paradigms (batch and stream-processing)
  • 6+ year’s experience in Java, Scala. Familiarity with a scripting language like Python as well as Unix/Linux shells
  • 6+ year’s experience with strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.
Skills and Competencies
  • Profound understanding of Big Data core concepts and technologies – Apache Spark, Kafka, Spark streaming, spark, Scala, Hive and AWS etc.
  • Solid experience and understanding of various core AWS services such as IAM, Cloud Formation, EC2, S3, EMR, Glue, Lambda, Athena, and Redshift. Data Engineer (Bigdata, Kafka, Spark streaming, spark, Scala and AWS).
  • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS.
  • Programming experience with Python/Scala, Shell scripting.
  • Experience with DevOps and Continuous Integration/Delivery (CI/CD) concepts and tools such as Bitbucket and Bamboo.
  • Good understanding of business and operational processes.
  • Capable of problem/issue resolution, able to think creatively to solve problems.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

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Data engineer (Data brick, Python and Pyspark) - GO/JC/891/2025

Data Engineer I, Business Data Technologies

DATA ENGINEER – AZURE DATA FACTORY (ADF) RESOURCE

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