Senior Data Engineer
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Before you apply
LocationIND19-01-Bengaluru-EPIP 122 (Phase II)
SenioritySenior
Experience5+ yrs
Company size10,000+ people
PostedNov 3, 2026 · 2d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's Degree in computer science or equivalent
5+ years of hands on experience
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
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL
Experience in handling both OLTP and 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
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
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
Skills
Python
AWS
Redshift
Glue
RDS
Step Functions
S3
SageMaker
Kinesis
Unix
SQL
Oracle
MySQL
PostgreSQL
XML
JSON
Informatica
Matillion
Databricks
Microsoft co-pilot
Github co-pilot
Kafka
ETL
Job Description Summary
Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed. Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
tex
Job Description
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.