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Job DescriptionThis role is responsible for the development and implementation of data warehouse solutions for company-wide application and managing large sets of structured and unstructured data.
- The candidate will be expected to analyze complex customer requirements and work with data warehouse architect to gather, define and document data transformation rules and its implementation.
- Data Engineers will be expected to have a broad understanding of the data acquisition and integration space and be able to weigh the pros and cons of different architectures and approaches.
- You will have a chance to learn and work with multiple technologies and Thought Leaders in the domain.
Responsibility
- Translate the business requirements into technical requirements
- ETL development using native and 3rd party tools and utilities
- Write and optimize complex SQL and shell scripts
- Design and develop code, scripts, and data pipelines that leverage structured and unstructured data
- Data ingestion pipelines and ETL processing, including low-latency data acquisition and stream processing
- Design and develop processes/procedures for integration of data warehouse solutions in an operative IT environment.
- Monitoring performance and advising any necessary configurations & infrastructure changes.
- Create and maintain technical documentation that is required in supporting solutions.
- Coordinate with customers to understand their requirements
- Provide direct support to the project lead and the solution delivery team.
- Readiness to travel to customer sites for short, medium or long-term engagements.
Skills And Qualifications
- S. / M.S. in Computer Sciences or related field
- Hands on experience with one or more ETL tools like Informatica, DataStage, Talend etc.
- Strong concepts of designing and developing ETL architectures.
- Strong RDBMS concepts and SQL development skills
- Good understanding of data modeling and mapping
- Experience with Data Integration from multiple data sources
- Working experience in one or more business areas like Telecom, Retail, Finance etc.
- Good knowledge of Big Data technologies such as Pig, Hive, Spark, Kafka, Nifi
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Experience with any of the Hadoop distributions such as Cloudera/Hortonworks
- Working experience with at least one cloud service provider AWS, Azure or Google Cloud and hands on with their native tools.
- Experience in projects using Agile delivery is mandatory.
- Solid understanding of DevOps technology stack and standard tools/practices like Linux, Dockers, Jenkins & Git etc.
- Experience with Teradata tools and technologies will be a plus.
- Training/Certification on Teradata will be a plus.
- Good communication and presentation skills, both verbal and written
- Proven experience in customer facing roles for large engagements and experience in working with delivery teams.
- Ability to solve problems using a creative and logical mind set
- Must be self-motivated, analytical, detail oriented, organized and pursue excellence on all tasks
Skills
Job Details
Industry:
Functional Area:
Total Positions:
5 Posts
Job Shift:
First Shift (Day)
Job Location:
Gender:
No Preference
Age:
35 - 46 Years
Minimum Education:
Bachelors
Degree Title:
BCS/BS/MCSC/MS
Career Level:
Experienced Professional
Experience:
5 Years - 9 Years (Data Engineering experience is mandatory)
Apply Before:
Nov 29, 2021
Posting Date:
Oct 17, 2021
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