Sr. Executive/ AM Data Engineeer

3 weeks ago

Mumbai, Maharashtra, India Godrej Agrovet Limited Full time
Sr. Executive / Assistant Manager Data Engineer
Godrej Agrovet
Mumbai, Maharashtra, India
-------------------------------------------------------------------------------------------------------------
Job Title:

Sr. Executive / Assistant Manager Data Engineer
Job Type:

Permanent, Full-time
Function:

Digital
Business:

Godrej Agrovet
Location:

Mumbai, Maharashtra, India

About Godrej Agrovet:
Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri-business Company dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses it operates - Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry and Processed Foods. GAVL has a pan India presence with sales of over a million tons annually of high-quality animal feed and cutting- edge nutrition products for cattle, poultry, aqua feed and specialty feed. Our teams have worked closely with Indian farmers to develop large Oil Palm Plantations which is helping in bridging the demand and supply gap of edible oil in India. In the crop protection segment, the company meets the niche requirement of farmers through innovative agrochemical offerings. GAVL through its subsidiary Astec Life Sciences Limited, is also a business-to-business (B2B) focused bulk manufacturer of fungicides & herbicides. In Dairy and Poultry and Processed Foods, the company operates through its subsidiaries Creamline Dairy Products Limited and Godrej Tyson Foods Limited. Apart from this, GAVL also has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh.
For more information on the Company, please log on to www.godrejagrovet.com

Roles & Responsibilities:

Data Pipeline Development : Design, develop, and optimize data pipelines to ingest, process, and transform data from various sources (e.g., APIs, databases, files) into the data warehouse.

Data Integration:

Integrate data from various structured and unstructured sources into the Databricks Lakehouse environment, ensuring data accuracy and reliability.

Data Lakehouse & storage Management:

Design and maintain data warehouse solutions using medallion architecture practices, optimizing storage, cloud utilization, costs and query performance.

Collaboration with Data Teams : Work closely with data scientists, analysts, to understand requirements, translate them into technical solutions, and implement data solutions.

Data Quality and Monitoring : Cleanse, transform, and enrich data. Implement data quality checks and establish monitoring processes to ensure data integrity and accuracy. Implement monitoring for data pipelines and troubleshoot any issues or failures promptly to ensure data reliability.

Optimization and Performance Tuning:

Optimize data processing workflows for performance, reliability, and scalability, including tuning spark jobs, caching, and partitioning data appropriately.

Data Security and Privacy:

Manage and organize data lakes using Unity catalog, ensuring proper governance, security, role-based access and compliance with data management policies.

Key Skills:
Technical Skills:
Proficiency with Databricks Lakehouse platform, Delta Lake, Genie, ML Flow (e.g., Databricks Certified Data Engineer Associate) is a plus.
SQL and NoSQL: Experienced working with both SQL and NoSQL data sources (e.g., MySQL, PostgreSQL, MongoDB etc.)
Strong knowledge of Spark, especially in PySpark or Scala, for data transformation.
Proficiency in Python, R and other programming languages used in data processing.
Experience with cloud platforms like Azure, AWS, particularly Azure storage & services
Knowledge of ML Pipelines, data streaming platforms (e.g., Apache Kafka, AWS Kinesis).
Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)
Educational Qualification:
Education:

Bachelor's degree in Computer Science, Engineering/MCA, or a related field (Master's preferred)
3+ years of experience as a Data Engineer, with hands-on experience in Databricks

Experience:
Seeking a skilled Data Engineer with expertise in Databricks on Azure (ADF, ADLS) to join our data team. As a Data Engineer, you will work with both structured and unstructured data. You will be responsible for designing, building, and maintaining scalable and reliable data pipelines that support business intelligence, data analytics, and machine learning efforts. You will collaborate closely with data scientists, analysts, and cross-functional teams to ensure data is available, accurate, and optimized for processing and storage.

What's in it for you?
Be an equal parent
Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return
Paternity support, including paid leave
New mothers can bring a caregiver and children under a year old, on work travel
Adoption support; gender neutral and based on the primary caregiver, with paid leave options
No place for discrimination at Godrej
Gender-neutral anti-harassment policy
Same sex partner benefits at par with married spouses
Gender transition support
We are selfish about your wellness
Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options
Uncapped sick leave
Mental wellness and self-care programmes, resources and counselling
Celebrating wins, the Godrej Way
Structured recognition platforms for individual, team and business-level achievements
Performance-based earning opportunities
https://www.godrejcareers.com/benefits/

An inclusive Godrej
Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It's not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you.
We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members.
If this sounds like a role for you, apply now
We look forward to meeting you.

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