Browse Jobs
Explore open roles across India.Explore active software roles. Sign up to apply and get AI match scores.
Top MatchesTop Job Matches
Loading jobs…
Back to Browse Jobs
OCEAN TECHNOLOGIES
Data Engineer (6 months contract)
OCEAN TECHNOLOGIES
New Delhi•On-site•3-6 Yrs•1 hour ago
Job description
Data EngineeringETL/ELT PipelinesCloud Data TechnologiesDatabase Management
Overview
Hands-on Data Engineer role for a fixed-term contract with an industry-leading global tech company. Will be designing, developing, and maintaining data ingestion, transformation, and modeling pipelines as part of the organization's analytics landscape.
Responsibilities
- Design and maintain optimal data pipeline architecture from multiple data sources
- Assemble large, complex data sets that meet functional/non-functional business requirements
- Identify, design, and implement internal process improvements including automation, optimization, and scalability redesign
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Ensure robust data validation and verification processes to ensure correctness of data for reporting
- Develop and maintain data warehousing approaches, including modeling and pipelining of data for storage and retrieval
- Keep data separated and secure based on best practice guidelines
- Ensure that data from information sources is accurate, liaising with other business functions when necessary
- Proactively keep up to date with the latest cloud data technology
- Produce supporting documentation such as specifications, data models, relation between data and other data objects
- Provide data exports for customer verification and sunsetting customers
- Provide data exports as seed data for systems integration (e.g., OLP)
- Support document migration
Qualifications
- At least 2.5 years of experience developing solutions with Data & Analytics technologies
- Experience with building and maintaining ETL/ELT pipelines with SnapLogic as part of an automated workflow on high-volume, high-dimensionality data from varying sources
- Good understanding on how data management, cleansing and query optimisation influences pipeline and data model design
- Experience working with databases on-premises and/or cloud-based environments such as MSSQL, MySQL, PostgreSQL, SQL Azure, Aurora MySQL etc.
- Demonstrably strong problem-solving skills to help design and implement solutions to data problems
- Experience of CICD technologies and Source control
- Understand and apply infrastructure knowledge to develop and maintain an efficient environment
- Modelling datasets in a way applicable for use in different visualisation tools (e.g., PowerBI)
- Strong stakeholder management skills
- Highly numerate and logical
- Ability to clearly communicate and present outputs to stakeholders
Nice to have
- Experience with AWS Glue, AWS RDS, AWS Aurora, AWS S3, Amazon Athena, Amazon EMR
- PostgreSQL
- Python
- Bitbucket
- Liquibase
- Jenkins
- Octopus
- Working with REST API
Benefits
- Opportunity to work with an industry-leading global tech company.
- Engage in a critical journey of re-designing the company's approach to data and reporting.
- Be part of revolutionary efforts to deliver value from data to business and customers.