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BI Developer

Salary

₹15 - 30 LPA

Min Experience

6 years

Location

Hyderabad, Telangana, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

  • Job Summary


We are seeking a results-driven and technically proficient Business Intelligence (BI) Officer to join our Data & Analytics team. This role requires strong expertise in ETL processes, data warehousing, and data visualization, along with hands-on experience in both on-premise and AWS cloud BI environments. The ideal candidate should possess a deep understanding of modern BI tools and have domain exposure to sectors like banking, financial services, telecom, government, aviation, or technology consulting.

  • Must-Have Skills (Mandatory)
  • Strong experience in ETL development and workflow design
  • Proficiency in data warehousing concepts, data modeling, and architecture
  • Hands-on with SQL, PL/SQL, and Python for data manipulation
  • Experience with big data tools such as Spark, Hive, Kafka, HDFS, and NiFi
  • Proficiency in data visualization tools like Power BI and Tableau
  • Familiarity with data governance, data validation, and security standards
  • Experience with structured and unstructured datasets
  • Good-to-Have Skills (Optional)
  • Experience with NoSQL databases and traditional RDBMS
  • Familiarity with Scala and data lake architectures
  • Understanding of CI/CD practices in BI solution deployments
  • Relevant certifications in AWS, BI tools, or Data Engineering
  • Qualifications & Experience
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field
  • Minimum of 6 years of hands-on experience in BI development or data engineering
  • Experience working in on-premise as well as AWS cloud environments
  • Exposure to one or more of the following sectors is highly preferred:
  • Banking / Financial Services
  • Telecommunications
  • Government / Public Sector
  • Aviation
  • Technology / IT Consulting

Skills

etl
data warehousing
data modeling
sql
pl/sql
python
spark
hive
kafka
hdfs
nifi
power bi
tableau
nosql
rdbms
scala
data lake