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Syngenta

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4.2

based on 879 Reviews

Video summary

1 Syngenta Technical Lead Job

Technical Lead Data

Syngenta Global

4.2

based on 879 Reviews

8-13 years

Pune

1 vacancy

Technical Lead Data

Syngenta

posted 17d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Machine Learning Auditing Clinical Data Management Open Source

+ 3 more

Job Description

As a Tech Lead Data, you will provide technical leadership in a team of highly skilled experts working to implement information-driven strategies and systems that help agricultural scientists develop solutions for growers. You will go beyond architectural design and provide end to end implementation of real-life data environments.

You are a highly motivated individual with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. You are an effective communicator; you will be a confident leader equipped with strong leadership skills and a genuine passion to make things happen in a dynamic organization

Key Accountabilities

Spearhead the advancement of our data and analytics capabilities within the RD node of our enterprise data mesh by implementing the architectural blueprints for various Data Platforms.
Developing and implementing an organizational data strategy in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
Identifying data sources, both internal and external, and working out a data management plan aligned with organizational data strategy
Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data ecosystem
Guide the technical direction of data projects and initiatives.
Ensure best practices in data engineering and analytics are followed. Integrating technical functionality, ensuring data accessibility, accuracy, and security
Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders

Experience/Previous Jobs Required for the Job

Experience in DA platforms. Includes analysis and translation of requirements into technical specifications and who directs the day-to-day implementation activities of the DevOps team. Should be hands-on on all specified technology
9+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
Prior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologies
Ability to produce client ready solution architecture, business understandable presentations and effective communication skills to lead and run workshops
Data modelling and architecting skills including solid foundation in data warehousing concepts, data normalization, and dimensional data modelling such as OLAP, or data vault.
Understanding of predictive modeling, NLP and text analysis, Machine Learning
Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques
Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
An in-depth understanding of AWS Cloud solutions
Experienced in integrating into legacy systems and COTS solutions
Candidates ideally have experience in the below tools:
- Data Ingestion - Snaplogic, Glue, Lambda
- Storage - S3
- Processing - Databricks
- DWH - Redshift, Databricks SQL Warehouse
- Databases - RDS
- Language - Python (pyspark), SQL (sparksql), Java, R
- BI Tools - PowerBI, DASH, Spotfire, Qlik
- Catalogue - Glue catalog, Unity Catalog
- Streaming - Kafka, Eventhub
- AI/ML - MLOps, Sagemaker
- Storage / Dataframe work - S3, Deltalake, Iceberg, Parquet