Seeking a Data Engineer with 1-2 years of experience, skilled in Snowflake, Python, and data warehousing. Responsibilities include deploying data warehouse solutions, building ETL/ELT pipelines, and supporting data strategy in a fast-paced environment. Strong problem-solving skills, cloud exposure, and teamwork are essential.
Demonstrate expertise in data modelling, physical and logical schema designing, and ELT/ETL using Snowflake and SQL.
Deploy fully operational data warehouse solutions into production on Snowflake.
Support design of data strategy and governance.
Must be problem-solving and have the ability to break complex issues into manageable pieces that function successfully in a high-pressure, quick-turnaround environment.
Write a fully functioning piece of code in Python to support the various data-related workloads.
Good understanding of Data warehousing, ELT, ETL, OLTP, and OLAP
Build ETLs/ELTs to take data from various operational and transactional systems and create a unified dimensional or star schema data model for analytics, reporting and delivery.
Take an active part in all aspects of development including participation in reviewing the work done by peers.
Collaborate within and across multiple teams, as necessary.
Strong cross-functional team player and demonstrate ability to coordinate application changes in a diverse and fast-paced work environment.
RequirementsRequired Skills and Abilities:
1-2 years of relevant experience in working as a Data Engineer
Experience working on data warehouse technical architectures, ETL/ELT, reporting/analytical tools, and data security
Expert knowledge of developing data pipelines using Python.
Experience working with different offerings in Snowflake (SnowSQL, SnowPipe, Bulk loading, Shares)
Experience working with structured and semi-structured data
Solid fundamental skills in data structures and algorithms
Exposure to cloud-based services (AWS preferred)
Having excellent communication skills while collaborating with cross-located Development teams
Well-versed with SCRUM / Agile delivery methodology
Knowledge of any version control system (e.g. SVN, git).
Exposure and experience with Tableau/Power BI
BE/B Tech/M Tech/MCA in Computer Science/Information Technology or equivalent from a reputed college with 1-2 years of experience as a Data Engineer
Prior experience working with Snowflake is mandatory
Prior coding experience in Python is mandatory
Prior experience working in Data warehousing and ETL development is mandatory
Motivated team player who goes over and above what is asked
Attitude to thrive in a fun, fast-paced start-up-like environment
You love writing and owning codes and enjoy working with people who will keep challenging you at every stage.
You have strong problem-solving, analytical, decision-making, and excellent communication and interpersonal skills.
You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.
Skills Required
- 1-2 years of relevant experience as a Data Engineer
- BE, BTech, MTech, MCA in Computer Science, Information Technology, or equivalent
- Prior professional experience with Snowflake
- Prior coding experience in Python
- Prior experience in data warehousing and ETL development
- Experience with data warehouse technical architectures, ETL/ELT, analytical or reporting tools, and data security
- Expert knowledge of developing data pipelines using Python
- Experience with SnowSQL, Snowpipe, bulk loading, and Snowflake Shares
- Experience working with structured and semi-structured data
- Fundamental knowledge of data structures and algorithms
- Exposure to cloud-based services, preferably AWS
- Excellent communication and collaboration skills across geographically distributed development teams
- Knowledge of Scrum or Agile delivery methodology
- Knowledge of a version control system such as Git or SVN
- Exposure to Tableau or Power BI
- Strong problem-solving, analytical, decision-making, interpersonal, and teamwork skills
- Self-driven motivation and ability to work in a fast-paced, results-driven environment
What We Do
GIST Impact is a leading impact data and analytics provider that has been measuring and quantifying impact for more than 15 years. With a team of 100+ scientists, engineers, data scientists and ecological and environmental economists, GIST Impact delivers market-leading impact platforms and datasets, covering 12,800+ companies with geographically precise, time-series data. GIST Impact works with pioneering companies across all sectors and with investors representing over $8 trillion in assets under management. GIST Impact also partners with some of the world's largest ESG data providers, business networks, and fintech platforms to enable impact measurement across global markets.
