Senior Data Engineer
3 weeks ago
Job Description :
- Drive best possible solutions for clients and work closely with a highly skilled Data Science team.
- Lead on projects from a data engineering perspective, working with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches while handling vast amounts of data - working on database design and development, data integration and ingestion, designing ETL architectures using a variety of ETL tools and techniques.
- Plan and execute secure, good practice data integration strategies and approaches
- Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
- Create and manage data environments in the Cloud
- Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
- Have a strong understanding of Information Security principles to ensure compliant handling and management of client data
- This is a fantastic opportunity to be involved in end-to-end data management for cutting edge Advanced Analytics and Data Science
Qualifications :
- Commercial experience leading on client-facing projects, including working in close-knit teams
- Overall, 5 + years of experience, with at least 3+ years in Big Data technologies (Hadoop / Spark / Relational DBs) and similar experience in working on projects within the cloud ideally AWS or Azure
- Data Warehousing experience with cloud products like Snowflake, Azure DW, or Redshift
- Experience in building operational data pipelines across a number of sources, and constructing relational and dimensional data models using any ETL/ELT tools (e.g. Talend, Informatica, Alteryx etc.)
- Possess ETL Experience with Data Bricks
- Must possess strong understanding in Data Quality (e.g. Profiling, Cleansing, Validations et.) concepts & Testing methods
- Strong development background with experience in SQL along with at least one scripting knowledge (e.g. Python, Java, Scala, R etc.)
- Good to have experience with streaming architectures and patterns like Kafka
- Good to have better understanding of DevOps process
- Comfortable with client facing role with good consulting skills having knowledge in SDLC process
- Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.
- A deep personal motivation to always produce outstanding work for your clients and colleagues
- Excel in team collaboration and working with others from diverse skill-sets and backgrounds
- Should be open to work as individual contributor as well as take leads on projects. Team leading experience is good to have.
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