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Roles and Responsibilities
In this role, you will:
- Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
- Leverage technical data dictionaries and business glossaries to analyze the datasets.
- Perform data profiling and data analysis for any source systems and the target data repositories.
- Understand metadata and the underlying data structures needed to standardize the data load processes.
- Develop data mapping specifications based on the results of data analysis and functional requirements
- Perform a variety of data loads & data transformations using multiple tools and technologies.
- Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.
- Validate the data mapping results and match with the expected results.
- Leverage/Implement Data Quality (DQ) rules provided.
Education Qualification:
Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience.
Desired Characteristics Technical Expertise:
- Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques.
- Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis.
- Hands-on experience in programming languages like Python. Unix
- Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL.
- Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models.
- Experience with data warehousing, Big Data. NRT - Kafka.
- Exposure to unstructured datasets and ability to handle XML, JSON file formats
- Exposure to Extract, Transform & Load (ETL) tools like Matillion Or Informatica.
-Exposure or experience in Databricks.
- Experience using 'Low code, No code' tools like Microsoft/Github co-pilot.
Domain Expertise:
- Exposure to handling enterprise ERP and CRM data.
- Knowledge of for industrial applications in a commercial/finance/manufacturing settings.
- Exposure to finance and accounting data domains.
Leadership skills:
- Partner with other team members to understand the project objectives and resolve technical issues.
- Communicate project status or challenges in a clear and concise manner to the cross team members.
- Ability to drive technical solutions to meet business outcomes.
From live job posts on CoreHRx, updated 14 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹25L a year (typical for IT Jobs in India, 828 posts).
The post asks for 5 Yrs experience.
It is a full time job.
Interview preparation · 60 questions
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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