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2 Job openings at Quosphere
Qlikview Consultant - Data Analytics (1-2 yrs)

Mumbai

1 - 2 years

INR 9.0 - 13.0 Lacs P.A.

Work from Office

Full Time

We are looking to hire a Qlik Consultant with significant ETL and Qlikview experience. We are searching for somebody who can start right away (immediate joinee or less than 15 days) Office Location Mumbai Experience 1-2 years About The Role : - Development/Testing/Processes - Developing effective QlikView/ Sense data models - Developing front end applications using Qlik technology - Utilizing scripting language to meet complex business requirements - Utilizing Qlik Publisher / N printing capabilities - Extract, transform and load (ETL) data from multiple data sources into the Qlik application - Design, build, test and debug Qlik solutions based upon specified requirements - Follow implementation standards - Utilize source control tools - Follow deployment process - Solid experience developing complex Qlik data models Specific Responsibilities : - Participating in business requirements and design review sessions - Providing input on proposing, evaluating, and selecting appropriate design alternatives which meet requirements and are consistent with our current standards and processes - Extracting, transforming and loading data into Qlik applications - Developing, testing, debugging Qlik applications - Migrating code across development and testing landscapes - Creating publisher jobs - Developing documentation - Transferring knowledge and landing application to BI Support team - Good communication skills and ability to interact with the customer - Willingness to travel is mandatory Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Quosphere - Data Specialist - Python/SQL (3-5 yrs)

Mumbai

3 - 5 years

INR 3.0 - 7.0 Lacs P.A.

Work from Office

Full Time

Job Summary We are seeking a highly analytical and detail-oriented Data Specialist with deep expertise in SQL, Python, statistics, and automation. The ideal candidate will be responsible for designing robust data pipelines, analyzing large datasets, driving insights through statistical methods, and automating workflows to enhance data accessibility and business decision-making. Key Responsibilities - Write and optimize complex SQL queries for data extraction, transformation, and reporting. - Develop and maintain Python scripts for data analysis, ETL processes, and automation tasks. - Conduct statistical analysis to identify trends, anomalies, and actionable insights. - Build and manage automated dashboards and data pipelines using tools such as Airflow, Pandas, or Apache Spark. - Collaborate with cross-functional teams (product, engineering, business) to understand data needs and deliver scalable solutions. - Implement data quality checks and validation procedures to ensure accuracy and consistency. - Support machine learning model deployment and performance tracking (if applicable). - Document data flows, models, and processes for internal knowledge sharing. Key Requirements - Strong proficiency in SQL (joins, CTEs, window functions, performance tuning). - Solid experience with Python (data manipulation using Pandas, NumPy, scripting, and automation). - Applied knowledge of statistics (hypothesis testing, regression, probability, distributions). - Experience with data automation tools (Airflow, dbt, or equivalent). - Familiarity with data visualization tools (Tableau, Power BI, or Plotly) is a plus. - Understanding of data warehousing concepts (e.g., Snowflake, BigQuery, Redshift). - Strong problem-solving skills and the ability to work independently. Preferred Qualifications - Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or a related field. - Exposure to cloud platforms like AWS, GCP, or Azure. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

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