Key responsibilities:

Design, develop, and maintain data analytics infrastructure, including data pipelines, data warehouses, and ETL processes.
Collaborate with cross-functional teams to identify data needs and translate business requirements into technical solutions.
Develop and implement data quality control processes to ensure the accuracy and completeness of our data.
Perform data profiling and data cleansing to identify and resolve data quality issues.
Monitor data performance and troubleshoot any data-related issues.
Develop and maintain data documentation, including data dictionaries and data flow diagrams.
Create and maintain data models to support business intelligence and reporting needs.
Stay up-to-date with industry trends and best practices in data analytics and continuously improve our data infrastructure.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of 5 years of experience in data analytics, data engineering, or a related field.
Strong experience with SQL and data warehousing concepts.
Proficiency in data manipulation and analysis using programming languages such as Python or R.
Experience with ETL tools, such as Informatica, Talend, or DataStage.
Familiarity with big data technologies, such as Hadoop, Spark, or Hive.
Experience with data visualization tools, such as Tableau, Power BI, or Qlik.
Excellent problem-solving and analytical skills.
Strong attention to detail and ability to work with large datasets.
Ability to work in a fast-paced and dynamic environment.
Excellent communication and collaboration skills.

Join us and be part of a team that is revolutionizing the way data is used to drive business decisions.

Hashtags