Senior Data Engineer
2 weeks ago
Direct message the job poster from Expert360
Connecting Experts to Great Opportunities- Title: Consultant – Senior Data Engineer
- Location: Sydney
- Duration: 6 months initial term with the possibility of extension
- Employment Type: Contract
About Expert360:
Expert360 empowers more than 42,000 (and growing) elite professionals around the world to find great work and be successful. Expert360 was founded in 2013 with a simple but powerful mission - to connect amazing people with great companies to get important work done.
We believe in choice, flexibility and empowerment. We believe if you can change the world of work, you can change the world. Come and join us in defining and bringing to life the future of work
About the role:
Our client is looking for a Consultant to join their team. The position will be responsible for planning & delivery of Data Engineering and Data Modelling services for specific accounts for their end Clients. The role may also support Pre-Sales and Business Development on our client's existing Industry Accounts and new channels.
As the Senior Consultant, you will have subject matter expertise area of end-to-end data management domain with a focus on data pipelining, modelling and analysis. You will have practical technical skills based on 7+ years' experience in a lead data engineer capacity focused on a number of technology stacks.
Key responsibilities:
- Develop ELT/ETL designs and data models for engagement involving data profiling, data migration, and end-to-end data management
- Understand data migration process, analyse data via a query-based approach and code in time with the Informatica toolset.
- With experience in the Data Management arena, you have hands-on experience in cloud platforms such as Azure, AWS or GCP, especially in the data domain.
- You will also have detailed experience and skills in traditional ELT/ELT technologies
- You have a track record of client delivery, putting forward data solutions to meet client specific needs
- You engage with clients utilising your excellent communication and presentation skills.
To be successful in this role you will have:
- Banking or Financial experience is a MUST
- Solid ETL skills for 5+ years and has experience with Informatica tool and/or Informatica certification.
- Strong experience with traditional data platforms, (e.g., SQL Server, Oracle, DB2)
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud, OCI)
- Deep understanding of ETL, ELT, data wrangling, data modelling, handling of streaming data
- Good knowledge of one or multiple data programming languages (e.g., SQL, Python, R, Spark, Scala)
- Proficient with software engineering practices (e.g., coding standards, unit testing, version control, code review and DevOps)
- Experience with data toolsets and expertise in using SQL queries to analyse and profile datasets
- Experience with popular SaaS data tools (e.g., Databricks, Snowflake, Informatica, Kafka )
- Data integration with ERP or other systems is a plus
- Awareness and understanding of data migration principles and processes including the ability to identify, define, document and communicate requirements
- Technology stack certifications are highly desired
Qualifications:
- Bachelor's Degree in Computer Science, Engineering, or relevant field
- Graduate degree in Data Science or other quantitative field is preferred
- Mid-Senior level
- Contract
- Banking and Financial Services
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