79 Job openings found

1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
All About the Role: One of our clients, Leading in MNC IT Ind is looking for a Senior Data Analyst (WFH) What You’ll Bring Excellent verbal and written communication skills Need good problem-solving skills to accomplish any goal or milestone at work. Proven analytical and problem-solving abilities. Ability to effectively prioritize and execute tasks in a high-pressure environment. Skilled at ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Designation: Data Engineer- Informatica developer Job Location: Bangalore(Hybrid) Experience: 4-6 Years     Job Description About the Role Design, develop, and implement data integration workflows using Informatica PowerCenter or other Informatica products.2. Collaborate with business analysts, data architects, and project managers to gather and analyze requirements, translating them into technical specifications and data integration workflows.3. Build and maintain ETL ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Job Role: ETL Developer Location: Remote Work. Job Type: Full Time Preferred Immediate Joiners   [MUST BE READY TO WORK UNDER THIRD PARTY PAYROLL FOR 1 YEAR]   Skills Required: 4-6 years of experience in MS SQL, SSIS and ETL. Drive in delivering successful business outcome utilizing the Microsoft BI stack including SQL Server, SSIS, SSRS, SSAS. Data warehouse concepts (Implementation ...
4 Opening(s)
3.5 Year(s) To 5.5 Year(s)
7.00 LPA TO 11.00 LPA
Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
POSITION GENERAL DUTIES AND TASKS : We need an experienced, collaborative Snowflake Data Warehouse Engineers with �            5+ Yrs of experience in developing Snowflake data models, data ingestion, views, Stored procedures, complex queries �            Good experience in SQL �   ...
1 Opening(s)
0 To 0
0.00 LPA TO 0.00 LPA
We are looking for a Data Architect to build, optimize and maintain conceptual and logical database models.   Responsibilities Help to gather data requirements and collaborate with SME's to develop logical and physical data models. Develop data mapping documents for data development teams to use. Collaborate with ETL/data services team, application teams to support the ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Digital Data Engineering Practitioner  Project Role Description : Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments.                  ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
22.00 LPA TO 40.00 LPA
JD:Attached     Responsibilities include: Act as the liaison between Product Owners and technical developers, translating new requirements into designs, development strategies, and implementation plans. Build, and implement a Data Lake by ingesting and integrating commercial data from diverse sources to support both descriptive and predictive analytics. Lead a cross-functional team of AWS developers, Snowflake developers, ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have Skills : Snowflake Data Warehouse Good to Have Skills : AWS CloudFormation, AWS Architecture Job Requirements : Key Responsibilities : 1 Enable himself with the Accenture Standards ...
3 Opening(s)
2.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 12.00 LPA
Designing and implementing scalable, reliable, and efficient data pipelines and ETL processes tocollect, process, and store large volumes of structured and unstructured data from varioussources. Collaborating with data scientists, analysts, and other stakeholders to understand datarequirements and ensure data quality, integrity, and availability. Building and optimizing data warehouses, data lakes, ...

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