Time since we first saw it
Day 154
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
Telangana, Hyderabad, India
Open 5 months, first seen by us 154 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design, develop and maintain Power BI dashboards
Manage ETL processes and data integration frameworks
Translate complex business requirements into actionable insights
Design and maintain ELT processes and data models
designing, developing, and maintaining Power BI dashboards
managing ETL processes and data integration frameworks
translate complex business requirements into actionable insights
Experience in designing and maintaining ELT processes, data integration frameworks
Over 5 years of experience in BI application development
including advanced DAX queries, data modeling, and UI/UX best practices
Strong experience with Oracle SQL, Microsoft SQL Server
Microsoft BI Stack (SSAS, SSRS, SSIS)
Experience in financial services, banking, or related industries
Power BI certification
Knowledge of Hadoop, Cosmos, Azure, AWS, Data Bricks, MS Synapse
A Master’s degree is preferred.
Qualifications and Experience: - Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. A Master’s degree is preferred. - Experience: Minimum of 5-8 years of experience in BI development and data engineering, with a focus on financial services or fintech industries.
Good to Have Skillsets (Optional): - Programming Languages: Familiarity with C#, Java, HTML, Python, and other programming languages. - Additional BI Tools: Experience with MicroStrategy, OBIEE, Crystal Reports, and other BI tools.
Job Summary: We are looking for a skilled BI Developer and Data Engineer to join our team, responsible for developing, managing, and optimizing Business Intelligence (BI) platforms. This role will focus on designing, developing, and maintaining Power BI dashboards, as well as managing ETL processes and data integration frameworks. The ideal candidate will translate complex business requirements into actionable insights and ensure effective communication through data visualization. This position requires a strong background in SQL, data warehousing, and experience in financial services or related sectors. Must Have Skillsets (Mandatory):
Must Have Skillsets (Mandatory): - BI Development Experience: Over 5 years of experience in BI application development, particularly using Power BI, SQL/PLSQL, and Microsoft BI Stack (SSAS, SSRS, SSIS). - Power BI Expertise: Proficient in developing and administering Power BI dashboards, including advanced DAX queries, data modeling, and UI/UX best practices.
- Power BI Expertise: Proficient in developing and administering Power BI dashboards, including advanced DAX queries, data modeling, and UI/UX best practices. - SQL and Data Warehousing: Strong experience with Oracle SQL, Microsoft SQL Server, and data warehousing concepts, including ETL processes and data modeling. - Data Engineering: Experience in designing and maintaining ELT processes, data integration frameworks, and working with structured and unstructured data.
- Experience: Minimum of 5-8 years of experience in BI development and data engineering, with a focus on financial services or fintech industries. - Technical Knowledge: Proficiency in Power BI, SQL, Microsoft BI Stack, and Oracle PL/SQL, with knowledge of cloud platforms and data integration tools. - Certifications: Relevant certifications in Power BI, data engineering, or related technologies are preferred.
- Additional BI Tools: Experience with MicroStrategy, OBIEE, Crystal Reports, and other BI tools. - Big Data and Cloud Technologies: Knowledge of Hadoop, Cosmos, Azure, AWS, Data Bricks, MS Synapse, and other cloud platforms and big data technologies. - Application Migration and Automation: Experience in migrating PowerBuilder applications, administering APPEON Cloud Pro, and automating data processes using APIs.
- Application Migration and Automation: Experience in migrating PowerBuilder applications, administering APPEON Cloud Pro, and automating data processes using APIs. - Certifications: Power BI certification, and familiarity with tools such as Azure Data Factory and Informatica. Qualifications and Experience:
- BI Development Experience: Over 5 years of experience in BI application development, particularly using Power BI, SQL/PLSQL, and Microsoft BI Stack (SSAS, SSRS, SSIS). - Power BI Expertise: Proficient in developing and administering Power BI dashboards, including advanced DAX queries, data modeling, and UI/UX best practices. - SQL and Data Warehousing: Strong experience with Oracle SQL, Microsoft SQL Server, and data warehousing concepts, including ETL processes and data modeling.
- Technical Knowledge: Proficiency in Power BI, SQL, Microsoft BI Stack, and Oracle PL/SQL, with knowledge of cloud platforms and data integration tools. - Certifications: Relevant certifications in Power BI, data engineering, or related technologies are preferred. - Soft Skills: Strong communication, technical writing, and presentation skills. A team player with the ability to work independently and manage projects end-to-end.
Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 154
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
14 open jobs
Check the employer’s posting for the current role and application details.
Already applied? Track this application
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Telangana, Hyderabad, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting