Job Description: Responsibilities:- As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
- You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
- You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Tune application and query performance using profiling tools and SQL.
- You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Required Skills & Experience:- 7+ years of related experience in Data engineering role.
- 5+ year hands on experience with complex SQL.
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.
- A good candidate has strong analytical skills and enjoys working with large complex data sets.
Preferred:- Development experience with notable BI reporting tools (Tableau/Quicksuite).
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Candidate Requirements:- Top 3 Must Have Hard Skills
- 1. Python/SQL
- 2. Problem solving/solution designing
- 3. Data engineering best practices
Nice to haves:- (Top 3 ranked in importance)
- 1. Requirements capture
- 2. Data modeling/architecture
- 3. Communication
Leadership Principles:- (Top 2 ranked in importance)
- Bias for action
- Dive deep
Years of Experience: - 7+ years of related experience in Data engineering role.
- 5+ year hands on experience with complex SQL.
- Degree/ Certification Requirements: Bachelors in Computer engineering/IT
https://www.v2soft.com/careers - to view all of our open opportunities and to learn more about our benefits.
