Hiring Now: UST(Company)
Position: Associate III – Data Engineering
Work Type: Full-Time
Experience:3+ Years
Placement:Bangalore, Hyderabad
Required Skills: Data system,AWS,Python,SQL,SDLC
Salary: Not Disclosed
Qualification: Bachelor Degree or equivalent
Job Description:
3+ years of experience as a Data Engineer, working on large-scale data systems.
Expert in AWS: Practical knowledge of the fundamental Amazon Web Services for processing and storing data.
Python expertise: Proficient in Python for data engineering activities and workflow automation.
SQL expertise: Expertise in creating and refining intricate SQL queries, especially for Snowflake migrations of data.
Knowledge of the Software Development Life Cycle (SDLC): Particularly in Python-dominated environments.
Communication: Proficient in both written and spoken communication; capable of converting business needs into scalable technology solutions.
Date of Joining: Instant to 60 Days
Apply Right Away:https://usource.ripplehire.com/candidate/?token=8YxWjpwDhdL62DFYUIcQ&lang=en&source=USTLINKEDIN&ref=USTLINKEDIN#detail/job/45946
Company: Visa
Position: Data Engineer
Work Type: Full-time
Experience: 3+ Years
Placement: Bangalore
Required Skills: Hadoop, Apache Spark, Python and SQL.
Salary: Not Disclosed
Qualification:Bachelor Degree or equivalent
Date of Joining: Instant to 60 Days
Apply Right Away:https://corporate.visa.com/en/jobs/REF072374W
Company: Accenture
Position: Data Engineer
Work Type: Full-time
Experience: 2-5 years
Placement: Bengaluru
Required Skills: AWS Analytics, ETL,SQL
Salary: Not Disclosed
Qualification:Bachelor Degree or equivalent
Job Description:
In your role as a data engineer, you will create, develop, and manage data solutions that make it easier to generate, gather, and process data. In order to successfully migrate and deploy data across several systems and contribute to the overall efficiency and dependability of data operation, a typical day includes building data pipelines, guaranteeing data quality, and putting ETL procedures into place. Positions and Duties: It is anticipated that they will operate autonomously and develop into a SME. It is necessary to actively participate in team conversations. Participate in offering solutions to issues pertaining to the workplace. Work together with cross-functional teams to comprehend data needs and provide practical solutions. Data pipelines should be monitored and optimized for dependability and performance. Proficiency in AWS Analytics is a necessary professional and technical skill. A solid grasp of data warehousing principles and best practices. Proficiency with ETL tools and data integration
📅 Date of Joining: Instant to 60 Days
📩 Apply Right Away://www.accenture.com/in-en/careers/jobdetails?id=ATCI-5074085-S1883127_en&title=Data+Engineer
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