Sr.etl Developer Job in Saras Analytics

Job Description

About Saras:

Saras Analytics is a data management and predictive analytics company set up to solve data challenges. Our goal is to foster data-driven decision making at small to medium businesses and every initiative we undertake is geared towards offering the highest quality products and services at the most affordable prices.

This position can be worked remotely, however, ability to work during the business hours (IST/CST), and participation in video conferencing meetings is a requirement. Ability to physically come on-site is not required but would be a big plus. Resource is expected to work as full time.

Job Responsibilities include:

End to end ownership of data infrastructure

Understand and translate business needs into data models supporting long-term solutions.

Create logical and physical data models using best practices to ensure high data quality.

Maintain conceptual, logical and physical data models along with corresponding metadata.

Develop ETL processes to support integrating various datasets for business intelligence reporting.

Responsible for the development of queries, of varying complexity, and other specialized analytical projects, in connection with Data Warehouse data sets.

Develop and implement data governance practices to ensure quality data is always delivered to stake holders

Participates in multiple projects adhering to the current SDLC process.

Produces estimates of time and resources required to perform various tasks as part of a team.

Skills Required:

Deep expertise in writing complex SQL scripts to query and to manipulate data

Experience with ETL development to integrate disparate data sources with the specific goal of dashboard reporting (Dashboard experience is a must-have)

Experience in modern data stack tools like DBT or Apache Airflow, Luigi, etc.

Experience following set standards for design, security, and supportability

Experience working with Oracle DB, Snowflake, Redshift, or BigQuery and various data sources (ODS, csv, xlsx, dat, API, etc.)

Experience creating documentation of ETL workflows and ETL workflow dependencies

Experience understanding and translating business needs into data models supporting long-term solutions

Experience creating logical and physical data models using best practices to ensure high quality data

Experience maintaining conceptual, logical, and physical data models along with corresponding metadata

Experience developing ETL processes to support integrating various datasets for business intelligence reporting

Experience developing queries of varying complexity, and other specialized analytical projects, in connection with Data Warehouse data sets

Experience producing estimates of time and resources required to perform various tasks as part of a team

Experience working in a fast-paced environment with highly sensitive data

Experience working with similar data sets in a public health environment Desired

Experience with Tableau, Power BI or another visualization tool Desired

Must have excellent communications skills and be comfortable leading discussions with various stakeholders in video meetings

Job Type: Full-time

Working days:

• Monday to Friday