Data Engineer

2 months ago

Bengaluru, India Zyoin group Full time

Responsibilities :

- Account for the overall management of Data and Analytics projects; including timeliness, quality, and client value.

- QA/QC data and report output to ensure accuracy.

- Assist with the development of innovative plans for addressing key areas of data management and governance improvements.

- Collaborate with leadership to devise strategic direction and conduct analysis by qualitatively and/or quantitatively analyzing data/information.

- Perform data manipulations with tools such as BigQuery, SAS/ACCESS, and Tableau

- Prepare reports, programs, and other key deliverables that uncover insights for developing business recommendations, based on data findings.

- Prioritize and monitor project progress against goals and track budgeted hours.

- Present reports to key internal and external stakeholders, and effectively communicate the key findings and recommendations.

- Manage multiple projects and resources concurrently to ensure successful completion of data analytic projects.

- Manage junior resource(s), who would be collaborating with internal and external stakeholders to manage data logistics, including data transfers, understanding data structures and data flows, business rules, etc. to enable project execution.

- Mentor and develop junior staff members and project team colleagues.

- Always focused on fulfilling clients' core needs, value-add, and exceeding expectations.

- Build trusted working relationships with all the stakeholders and cross-team members.

Requirements :

- Bachelor's or Master's degree in Computer Science.

- 8+ years of experience working in Data Management or Data Engineering Teams.

- 6+ years of hands-on coding experience in SAS (Base, Macros, ODS, Access) and SQL.

- 6+ years of advanced database knowledge in Oracle Microsoft SQL Server or Postgre SQL.

- 2+ years of experience in managing, mentoring, and developing junior data engineers.

- Good knowledge of ETL Process, Data Hub/Lakes/Mart/Mesh, and Data Democratization.

- Exposure to BigQuery, Apache Hive, and Cloud Platforms (AWS/Azure/GCP) is a plus.

- Working knowledge of the Automotive Industry or Marketing data is an advantage.

- Excellent communication and presentation skills.

- Strong ability to build trusted working relationships with clients.

- Flexibility to work in a virtual environment with stakeholders in US time zones.

- Demonstrate technical acumen and possess a good learning mindset.

- Highly motivated and able to collaborate with cross-functional teams to get work done.

(ref:hirist.tech)

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