Data Catalog & Quality Engineer

Advanced Energy

Pune City

On-site

INR 840,000 - 1,440,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation

Annual pay-for-performance incentive plan

Diversity and inclusion initiatives

Job summary

Advanced Energy seeks a Data Engineer with 5-10 years experience to join their Data Solutions Delivery Team. This role involves designing and maintaining scalable data solutions using tools like Databricks and Google Cloud, and ensuring data integrity and quality. Candidates should have strong analytical skills, experience in data engineering, and knowledge of data warehousing processes.

Qualifications

Proven experience as a Data Engineer or similar role.
Experience in establishing enterprise data catalogs.
Excellent communication and collaboration skills.

Responsibilities

Design, build, and maintain scalable data solutions.
Develop and implement data warehousing solutions, including ETL processes.
Collaborate with teams to understand business requirements.

Skills

Data Engineering

Data Warehousing

Problem-solving

Analytical Skills

Communication

Education

Bachelor’s degree in Computer Science, Information Technology, or related field

Tools

Databricks

Azure Data Factory

Google Cloud

Ataccama

Collibra

Microsoft Purview

Great Expectations

Deequ

Job description

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About Advanced Energy

Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.

Department: Data and Analytics

Team: Data Solutions Delivery Team

Job Summary:

We are seeking a highly skilled Data Engineer with 5-10 Years of Experience to join our Data and Analytics team. As a member of the Data Solutions Delivery team, you will be responsible for designing, building, and maintaining scalable data solutions. The ideal candidate should have extensive knowledge of Databricks, Azure Data Factory, and Google Cloud, along with strong data warehousing skills from data ingestion to reporting. Familiarity with the manufacturing and supply chain domains is highly desirable. Additionally, the candidate should be well-versed in data engineering, data product, data platform concepts, data mesh, medallion architecture, and establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. The candidate should also have proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc.

Key Responsibilities:

Design, build, and maintain scalable data solutions using Databricks, ADF, and Google Cloud.
Develop and implement data warehousing solutions, including ETL processes, data modeling, and reporting.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Ensure data integrity, quality, and security across all data platforms.
Provide expertise in data engineering, data product, and data platform concepts.
Implement data mesh principles and medallion architecture to build scalable data platforms.
Establish and maintain enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview.
Implement data quality practices using tools like Great Expectations, Deequ, etc.
Work closely with the manufacturing and supply chain teams to understand domain-specific data requirements.
Develop and maintain documentation for data solutions, data flows, and data models.
Act as an individual contributor, picking up tasks from technical solution documents and delivering high-quality results.

Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.
Proven experience as a Data Engineer or similar role.
In-depth knowledge of Databricks, Azure Data Factory, and Google Cloud.
Strong data warehousing skills, including ETL processes, data modelling, and reporting.
Familiarity with manufacturing and supply chain domains.
Proficiency in data engineering, data product, data platform concepts, data mesh, and medallion architecture.
Experience in establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview.
Proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work independently and as part of a team.

Preferred Qualifications:

Master's degree in a related field.
Experience with cloud-based data platforms and tools.
Certification in Databricks, Azure, or Google Cloud.

As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.

Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.

We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012

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