Manager - Data Engineer [T500-21307]

About ADM :

We are one of the world’s largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.

About ADM India Hub :

At ADM, we have long recognized the strength and potential of India’s talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India.

At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.

Manager - Data Engineer

Position Summary :

ADM is seeking an experienced Manager for Data Engineering who is a player-coach. The successful candidate will play a pivotal role building and leading a high-performing team of developers capable of delivering high quality data solutions for a diverse set of internal customers. Strong technical acumen with modern data platforms, architectures and best practices is required with the ability to mentor less experienced developers and analysts. The ideal candidate has experience delivering work through Agile or SAFe.

Job Description & Responsibilities :

Lead a team of developers and analysts, fostering a culture of collaboration, team-driven decision making, continuous improvement, ownership and high-quality delivery

Hire, retain and develop talent, including providing accurate and timely coaching

Identify and mentor future leaders

Plan, design and build multiple modern data products like data pipelines, data streams, and data services at the same time

Manage cross-team dependencies and work with tech leads on solutions

Manage consulting partners, statements of work and outdates

Supervise and review activities of consultants

Effectively communicates up, across and down the organization including with internal customers

Prepare and present ideas & recommendations to colleagues and management

Education Qualification & Skill Requirements :

Bachelor’s degree in Analytics, Data Engineering, Data Science, AI / ML, Computer Science, Engineering, Statistics, Mathematics or related field

Typically requires minimum of 11+ years' work experience in a large-scale, enterprise environment

Typically requires 8+ years of hands-on experience implementing data solutions in an Agile environment

Advanced experience with Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory, Python, PySpark, Power BI, SSIS or other cloud-based data systems

Advanced experience with Azure DevOps, GitHub, CI / CD

Advanced experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouse

Advanced experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based

Advanced experience with data warehousing concepts and agile methodology

Advanced experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasets

Requires a deep understanding of data engineering principles, strong managerial skills, and the ability to drive innovation and operational excellence

Deep technical experience across multiple technologies, governance frameworks, data security and data platforms

Thought leader in organizations defining and implementing data mesh-based platforms and ingestion strategies to enable various data needs

Excellent oral and written communication and presentation skills

Ability to challenge the status quo and question “we’ve always done it this way”

Demonstrates initiative and leadership

Able to think critically and be solution focused

Strong interpersonal skills and able to work easily with business personnel

Works as well independently as within a team

High accountability with a demonstrated ability to deliver

Strong collaboration skills working with architecture, design, and development teams

Great organizational, time management and problem-solving skills

Possesses a professional demeanor