Data Engineer - Bengaluru
Everledger, India
Job Description
Who are we?
At Everledger, we are leaders in the real-world application of emerging technologies. We have built the world’s first platform for tracking asset provenance, providing the story of high-value assets through their lifetime journey.
We are looking for doers! Individuals who are ready to make an impact, can handle uncertainty and thrive in a rapidly growing environment. We have clients looking to us to create world leading technology solutions and deliver within their businesses things that have never existed before. You are someone who can handle the edge, who can forge a path where none have gone before, and you have the capability, drive and creativity to deliver on projects that are anything but ordinary. It’s high pressure, high stakes, career-defining work
We are looking for a Data Engineer to join our growing data amp; analytics team. You will be responsible for expanding and optimizing our data and data pipeline architecture. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Type: Full Time
Location: Bangalore
To be considered for this role you must have the appropriate working and/or residential rights for the country you are applying for.
Requirements
- Design standardized data schemas to capture data from multiple data providers
- Create programs to populate data into standardized data schemas
- Create programs to apply data integrity checks on incoming data
- Create programs to cleanse incoming data according to set data validation rules
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, automating data cleansing, automating data ingestion, automating data validation, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies such as AWS Glue ect.
- Build analytics tools that utilize the data pipeline to provide actionable data insights, operational efficiency and other key business performance metrics
- Work with stakeholders including business executives, Product teams, blockchain developers, and data amp; design teams to assist with data-related technical issues and support their data needs
- Work with other data and analytics team members to create greater functionality in our data systems
Role Requirements
- 3+ years of experience in a Data Engineer role
- Bachelor’s degree in Computer Science, Informatics, Information Systems or Statistics or another quantitative field
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Extensive experience in designing and building ETL/ELT routines to move data from disparate source systems into the target data model
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
- Strong project management and organizational skills
- Advanced working SQL knowledge and experience working with relational databases
- Experience building and optimizing data pipelines, architectures and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
Desirable
- Experience using the following software/tools is desired:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience implementing AWS data lake solution using AWS Glue, Athena, Lambda, Cognito, Dynamo db, S3, API Gateway, etc.
- Experience with relational SQL and NoSQL databases, such as Mongodb, Postgres, etc.
- Experience with cloud services such as Amazon Data Lake, EC2, RDS, Redshift, etc.
- Experience with object-oriented/object function scripting languages such Python, Java, etc. is preferred.