Offer summary

Qualifications:

Hands-on experience with Python programming language is mandatory., Thorough understanding of AWS and experience with AWS Glue, Spark, and Airflow for data pipeline development., Strong SQL and PL/SQL skills with advanced data modeling capabilities., Experience with cloud-hosted databases like Redshift, Snowflake, and BigQuery is preferred..

Key responsibilities:

Design and develop data pipelines using AWS tools and Python.

Partner with solution architects to identify data inputs and perform quality checks.

Develop Data APIs using Python and frameworks like Flask or FastAPI.

Build and maintain integrations and ensure security and scalability of REST APIs.

Elfonze Technologies is an IT service and consulting firm established in 2021. It started with delivery centers in Bengaluru and Denver, and by the end of its first year, it had a strong focus on Oracle Enterprise Consulting. The following year, the company expanded to Bhubaneswar and introduced an Electronics System Design and Manufacturing (ESDM) vertical. In 2023, Elfonze diversified its product portfolio with innovative solutions and strategic partnerships. It opened a Pune office and launched Connected Supply Chain Services. Key achievements include expansion to four locations, diversification into five verticals, serving over 50 global clients, a 400% growth rate, a strong team of over 200, and high client satisfaction. The founders' century of combined experience in IT and enterprise consulting has been fundamental to Elfonze's success. The company operates in multiple verticals including IT services, consulting, product development, and more, showcasing its adaptability and commitment to excellence.

Job description

This is a remote position.

Data Engineer

Hands-on Experience with programming languages such as Python mandatorily.
Thorough understanding of AWS from a data engineering and tools standpoint. Experience in another cloud is also beneficial.
Experience in AWS Glue, Spark, and Python with Airflow for designing and developing data pipelines. Expertise in Informatica Cloud is advantageous
Data Modeling: Advanced/Intermediate Data Modeling skills (Master/Ref/ODS/DW/DM) to enable Analytics on the Platform.
Traditional data warehousing and ETL skillset, including strong SQL and PL/SQL skills.
Experience with inbound and outbound integrations on the cloud platform
Design and development of Data APIs (Python, Flask/FastAPI) to expose data on the platform
Partner with SA to identify data inputs and related data sources, review sample data, identify gaps, and perform quality checks.
Experience loading and querying cloud-hosted databases like Redshift, Snowflake, and BigQuery.
Preferred - Knowledge of system-to-system integration, messaging/queuing, and managed file transfer.
Preferred - Building and maintaining REST APIs, ensuring security and scalability
Preferred - DevOps/DataOps: Experience with Infrastructure as Code, setting up CI/CD pipelines.
Preferred - Building real-time streaming data ingestion