SDE 1 - Data Engineer
GIST Impact Mumbai, Maharashtra, India
Financial Services · 51-200 employees
About the role
The role involves deploying operational data warehouse solutions and building robust ETL/ELT pipelines using Snowflake and Python. You will also contribute to data strategy, governance, and collaborate across cross-functional teams to support analytical workloads.
What they look for
Requirements
Candidates must have 1-2 years of experience in data engineering with mandatory proficiency in Snowflake, Python, and data warehousing. A degree in Computer Science or a related field is required, along with strong problem-solving skills and experience in Agile environments.
Full description
Role Description:
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.
Responsibilities:
- 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.
Requirements
Required 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
Required Education and Experience:
- 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.
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