Trivandrum
8 hours ago
Manager-Data Engineering

EMPLOYMENT QUALIFICATIONS: EDUCATION:

• Bachelor’s degree in software/computer engineering field.

• Continuous learning, as defined by the Company’s learning philosophy, is required.

• Certification or progress toward certification is highly preferred and encouraged.

SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED:

• Minimum 10 years of relevant IT experience in managing multiple information systems projects.

• Knowledge of healthcare domain

• Should have knowledge in ETL process, SQL, Database (Oracle/MS SQL).etc.

Proficient in Power BI/Tableau, Google data Studio, R, SQL, Python

• Strong knowledge of cloud computing and experience in Microsoft Azure – Azure ML Studio, Azure Machine Learning

• Strong knowledge in SSIS

• Proficient in Azure services - Azure Data Factory, Synapse, Data Lake

• Experience querying, analysing, or managing data required

• Experience in data cleansing, data engineering, data enrichment, data warehousing/ Business Intelligence preferred

• Strong analytical, problem solving and planning skills.

• Strong organizational and presentation skills.

• Excellent interpersonal and communication skills.

• Ability to multi-task in a fast-paced environment.

• Flexibility to adapt readily to changing business needs in a fast-paced environment

• Team player who is delivery-oriented and takes responsibility for the team’s success.

• Enthusiastic, can-do attitude with the drive to continually learn and improve.

• Knowledge of Agile, SCRUM and/or Agile methodologies.

• Knowledge and experience using PPM tools, MS Project, Jira, Confluence, MS Excel, PowerPoint, SharePoint, and Visio

• Exceptional interpersonal and communication skills, both oral and written

• Ability to mentor junior team members with less experience

• Ability to build relationships and work collaboratively with diverse leaders

• Ability to communicate and influence across business and technical domains, and across all levels of the organization

• Dynamic public speaking capabilities in front of large groups.

• Ability to communicate ideas to both technical and non-technical audiences

• Comfortable with ambiguity and can handle the unexpected with flexibility

• Ability to work with a collaborative approach and build trust with others

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