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Accenture
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Data Engineer Specialist

Data Engineer Specialist

Accenture

2 - 5 years

5 - 9 Lacs

kochi

Posted:1 week ago| Platform:

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Skills Required

data warehousing sql data modeling python data bricks hive scala pyspark data architecture sql azure git java spark devops hadoop etl big data data lake snowflake airflow power bi cloud platforms machine learning data engineering sqoop aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
Job Title - Lead Data Engineer Specialist ACS S ONG
Management Level:Level 9 Specialist
Location:Kochi, Coimbatore, Trivandrum
Must have skillsDatabricks including Spark-based ETL , Delta Lake

Good to have skillsPyspark

Job
Summary
We are seeking a highly skilled and experienced Senior Data Engineer to join our growing Data and Analytics team. The ideal candidate will have deep expertise in Databricks and cloud data warehousing, with a proven track record of designing and building scalable data pipelines, optimizing data architectures, and enabling robust analytics capabilities. This role involves working collaboratively with cross-functional teams to ensure the organization leverages data as a strategic asset. Your responsibilities will include
Roles and Responsibilities

Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other modern tools.

Architect, implement, and manage cloud-based data warehousing solutions on Databricks (Lakehouse Architecture)

Develop and maintain optimized data lake architectures to support advanced analytics and machine learning use cases.

Collaborate with stakeholders to gather requirements, design solutions, and ensure high-quality data delivery.

Optimize data pipelines for performance and cost efficiency.

Implement and enforce best practices for data governance, access control, security, and compliance in the cloud.

Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Lead and mentor junior engineers, fostering a culture of continuous learning and innovation.

Excellent communication skills

Ability to work independently and along with client based out of western Europe.

Professional and Technical Skills

5 -8 years of experience in data engineering roles with a focus on cloud platforms.

Proficiency in Databricks, including Spark-based ETL, Delta Lake, and SQL.

Strong experience with one or more cloud platforms (AWS preferred).

Experience in Snowflakes and Azure SQL will be an added advantage

Hands on experience with Delta Lake, Unity Catalog, and Lakehouse architecture concepts

Strong programming skills in Python and SQL; experience with Pyspark a plus.

Solid understanding of data modeling concepts and practices (e.g., star schema, dimensional modeling).

Knowledge of CI/CD practices and version control systems (e.g., Git).

Familiarity with data governance and security practices, including GDPR and CCPA compliance.

Additional Information

Experience with Airflow or similar workflow orchestration tools.

Exposure to machine learning workflows and MLOps .

Certification in Databricks, AWS

Familiarity with data visualization tools such as Power BI

About Our Company | Accenture (do not remove the hyperlink) Qualification
Experience5 - 8 years of experience is required

Educational Qualification:Graduation (Accurate educational details should capture)

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Data Engineer Specialist