Data Engineer

4 weeks ago

Ahmedabad, Gujarat, India Adani Digital Labs Full time

Adani Digital Labs is the digital arm of the Adani Group, focused on driving digital transformation across all Adani businesses. The lab leverages cutting-edge technologies such as AI, ML, data analytics, cloud computing, and automation to enhance customer experience, streamline operations, and enable innovation. With a strong emphasis on building scalable digital platforms and customer-centric solutions, Adani Digital Labs plays a pivotal role in shaping the group's digital strategy across sectors like energy, infrastructure, logistics, airports, and more.

Data Engineer

Position: Data Engineer

Location: Ahmedabad (On-site at office)

Experience: 4+ years of relevant experience

Job Description:

We are looking for a skilled Data Engineer responsible for building ETLs, data pipelines, and setting automation schedules for data collection.

The ideal candidate will have expertise in Python for applying transformation techniques and proficiency in database management systems

such as SQL, MySQL, and MongoDB. Experience with GCP cloud services, including BigQuery and Cloud Functions, is essential.

Responsibilities:

-Assemble large, complex datasets that meet functional and non-functional business requirements.

-Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data

delivery, and automating manual

processes.

-Build the necessary infrastructure for optimal extraction, transformation, and loading (ETL) of data from various sources using GCP/Azure and

SQL technologies.

-Develop analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics such as operational

efficiency and customer acquisition.

-Collaborate with stakeholders (data, design, product, and executive teams) to address data-related technical issues.

-Understand visualization requirements and translate them into actionable data pipelines.

Qualifications and Skills:

-Strong expertise in SQL and Python.

- Knowledge of both relational (e.g., SQL, BigQuery) and non-relational (e.g., MongoDB) database management systems.

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