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Colan Infotech - Analytics Engineer - Python/SQL

Posted on: 20/01/2026

Job Description

Description :

Designation - Analytics Engineer

Experience - 5+ Years

Job Location - Chennai

Notice Period - Immediate to 15 Days

Responsibilities :

- Design, build and optimize data models for analytical and operational use cases.

- Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats(as needed).

- Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions.

- Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation.

- Develop and maintain data infrastructure and tooling to support analytics workflows.

- Monitor and troubleshoot data pipelines/models, reports to ensure smooth operation and timely delivery of data.

- Implement and enforce data governance and security measures.

- Provide reliable and trustworthy models for the Organization to make critical decisions.

- Experience with the Finance domain/analytics is a plus.

Qualifications :

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. A Master's degree is a plus.

- Proven experience as an Analytics Engineer, Data Engineer, or a similar role.

- Strong proficiency in SQL and experience with data modeling and schema design such as star and snowflake.

- Experience with ELT tools and data pipeline frameworks (e.g., Apache Airflow, dbt, Fivetran).

- Proficiency in programming languages such as Python or R.

- Familiarity with cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).

- Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI) is a plus.

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills.

Preferred Skills :

- Experience with big data technologies (e.g., Hadoop, Spark).

- Knowledge of machine learning concepts and tools.

- Familiarity with data governance and compliance standards.

- Ability to work in an agile environment.


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