Data Engineer
4 weeks ago
Advance your career with Mindlance We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Data Engineer for an exciting career growth Opportunity.
Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today
Responsibility:
- The main responsibility is to ensure that the data used within the organisation is accurate, consistent, and reliable.
- Performing statistical tests on large datasets to determine data quality and integrity.
- Collaborating with database developers to improve data collection and storage processes.
- Running data queries to identify coding issues and data exceptions, as well as cleaning data.
- Gathering data from primary or secondary data sources to identify and interpret trends.
- Reporting data analysis findings to management to inform business decisions and prioritize information system needs.
- Documenting processes and maintaining data records.
- Adhering to best practices in data analysis and collection.
- Keeping abreast of developments and trends in data quality analysis.
- Collaboration is a key component of the job.
- You'll work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements, identify issues, and implement solutions.
- By fostering a culture of data quality, you contribute to the overall success of the organisation's data initiatives.
Skills:
Strong analytical skills to spot trends or anomalies in data. Proficiency in T-SQL/Azure DataBricks and data manipulation tools is essential for querying databases and performing data validation. Attention to detail, problem-solving ability, and excellent communication skills are also crucial for collaborating with different teams.
Tools/Technologies:
- 5 + years of Experience with T-Sql
- 3-5 Years of Experience with Azure Databricks
- Intermediate Level of Experience to interpret Statistical packages, such as MS Excel, SAS.
- Overall industry experience should be 7+ years.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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