1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
12.00 LPA TO 24.00 LPA
About the Role
We are seeking a Power BI Specialist to assess and client’s data analytics platform on Azure by leveraging AI for cost avoidance, report creation, data insights, and script development. The role involves evaluating the feasibility of custom Power BI visuals, assessing potential risks associated with non-standard elements in ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Python,
SQL,
Spark,
Pandas,
Airflow,
Azure Data Factory, or equivalent,
Azure (preferred),
AWS or GCP,
PostgreSQL,
MS SQL Server, NoSQL (MongoDB, etc.),
S3, Delta Lake, Snowflake, Redshift, BigQuery, Prometheus, Grafana, ELK, etc
Cloud Technologies: Familiarity with cloud platforms such as AWS, Azure, or GCP.
Programming Languages: Proficiency in Python
Problem-Solving: Strong analytical and problem-solving skills.
Communication: Excellent communication and collaboration skills.
1 Opening(s)
15.0 Year(s) To 20.0 Year(s)
18.00 LPA TO 28.00 LPA
We are seeking an extraordinary and exceptional candidate for the position of ETL/BI Architect with expertise in SSIS and SQL Server. The ideal candidate will have extensive hands-on experience in designing, developing, and managing SSIS/SQL ETL processes and database objects. You will be responsible for leading the design and development ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
18.00 LPA TO 24.00 LPA
Role Overview:As a Senior ETL Developer, you will be responsible for designing, developing, and managing ETL processes that integrate data into our data warehouse. You will lead a cross-functional team of developers and analysts to ensure data is transformed, loaded, and optimized to meet business intelligence needs. In this role, ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
11.00 LPA TO 11.00 LPA
Qualification- MBA Finance / MCAExperience – 3 yearsLocation – Bangalore BO.
5.5 Days working from Office
Key responsibilities: -
a) Proven Experience in implementing Data Acquisition strategies and data warehouses.b) Responsible for defining the data engineering strategy through the collection, storage, processing, and transformation of large datasets from internal and external sources.c) Work ...