Enterprise Data Architect

2 weeks ago


Bengaluru, Karnataka, India HCLTech Full time

Data Technical Architect (Pyspark-Hands on coding) with Azure Data Factory (ADF),Azure Databricks, SQL, Oracle PL/SQL, Python

The Senior Technical Enterprise Architect will be responsible for overseeing and managing Azure Data Factory (ADF), Azure Databricks, SQL, and Python processes. The primary objectives include optimizing data workflows, ensuring data reliability and integrity, and developing efficient data processing solutions using Azure technologies

Total Yrs of Exp -15+Yrs

Key Message Hand-on Coding skills and not looking for only architecture experience.

Primary Skills

Data-bricks

Cloud (Azure or AWS)

Py-spark

Advanced SQL

Hands on experience on data modelling. Data Vault is good to have

Data Security on data-bricks

Experience working on Data Warehouse project

Secondary Skills

Hadoop

Python

Java

Key Responsibilities

1. Design, develop, and implement data pipelines using azure data factory (ADF) to extract, transform, and load data.

2. Utilize azure Databricks to process and analyze large volumes of data efficiently.

3. Write complex SQL queries to extract and manipulate data for reporting and analysis purposes. 4. Develop and maintain python scripts for data processing and automation tasks.

5. Collaborate with cross functional teams to troubleshoot data related issues and optimize data processes.

6. Stay updated on the latest azure technologies and recommend innovative solutions to improve data workflows.

Skill Requirements

1. Expert in azure data factory (ADF) for building and scheduling data pipelines.

2. Experience with azure Databricks for processing big data workloads.

3. Strong skills in writing SQL queries for data extraction and manipulation.

4. Proficient in python scripting for data processing and automation tasks.

5. Problem-solving skills with the ability to analyze complex data systems and processes.

6. Strong communication and teamwork abilities to collaborate effectively with different teams and stakeholders.


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