SQL Data Engineer

Indus Infotech; Madhya Pradesh; On-site; INR 1,674,000 - 2,344,000; Part time

Job summary

Indus Infotech is seeking a Senior SQL Data Engineer for a Contract to Hire engagement across multiple Indian cities, including Pune, Indore, Bangalore, and Kolkata. The role demands extensive SQL, Python, data pipeline development, and cloud migration experience.

In-person mandatory test rounds and a structured interview process are part of the cadence. The candidate will design and maintain scalable data pipelines, support modernization efforts, and collaborate with analytics and BI teams to

Qualifications

• Strong hands-on SQL and Python skills.
• Experience in production data engineering.
• Knowledge of cloud data platforms (BigQuery/Snowflake).
• Experience with ETL/ELT tools (Talend).
• Understanding of data warehousing and dimensional modelling.
• Experience with API integrations and data quality management.
• Familiarity with Looker, Tableau, or Power BI.

Responsibilities

• Design, develop, and maintain scalable data pipelines for analytics.
• Analyse legacy data systems and support migration and modernization.
• Build data solutions using SQL, Python, and cloud platforms.
• Manage data ingestion, transformation, orchestration, and monitoring.
• Collaborate with analytics and BI teams to deliver reliable data.
• Develop integrations with internal/external systems and marketing platforms.
• Ensure data accuracy and performance of BI/reporting tools.
• Take ownership of delivery, documentation, and support.

Skills

SQL proficiency

Python programming

Data engineering

ETL/ELT design

Data modeling

API integrations

Education

Master's degree in CS/IS/Data Science

Tools

BigQuery

Snowflake

Talend

Looker

Tableau

Power BI

Git

Jira

Spark

Kafka

AWS

GCP

Azure

Job description

Senior SQL Data Engineer | C2H
Experience: 6 Years
Locations: Pune, Indore, Bangalore, or Kolkata
Interview Mode: In person for the mandatory test round
Engagement Type: Contract to Hire (C2H)

Role Overview

We are looking for an experienced SQL Data Engineer to develop, maintain, and modernize enterprise data platforms. The candidate should have strong SQL and Python skills, along with hands on experience in data pipeline development, cloud data migration, and data integration.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for business analytics and reporting.
• Analyse legacy data systems and support end to end data platform migration, including planning, implementation, validation, and decommissioning.
• Build and optimize data solutions using SQL, Python, and cloud based data platforms.
• Manage data ingestion, transformation, orchestration, and monitoring using ETL/ELT tools.
• Identify data dependencies, resolve data quality issues, and improve pipeline performance.
• Work with analytics, BI, product, and business teams to deliver reliable data solutions.
• Develop and maintain integrations with internal systems, external APIs, and third party marketing platforms.
• Support BI and reporting platforms, ensuring data accuracy, reliability, and performance.
• Take ownership of technical delivery, documentation, production support, and knowledge transfer.

Mandatory Technical Skills

• Strong hands on experience with SQL and Python.
• Experience working in production data engineering environments.
• Knowledge of cloud data platforms such as BigQuery and Snowflake.
• Experience with cloud data migration and platform modernization.
• Hands on experience with ETL/ELT tools such as Talend.
• Understanding of data warehousing, dimensional modelling, and query optimization.
• Experience with API integrations, data ingestion, and data quality management.
• Knowledge of at least one cloud platform: AWS, GCP, or Azure.
• Experience with data processing frameworks such as Spark or Kafka.
• Exposure to BI and reporting tools such as Looker, Tableau, or Power BI.
• Familiarity with Git, Jira, and collaborative development practices.

Preferred Skills

• Experience with Looker or Mode analytics platforms.
• Experience integrating marketing data from search engines, social media, and third party sources.
• Knowledge of distributed systems and modern data pipeline architecture.
• Ability to create technical documentation, data flow diagrams, and architecture diagrams using tools such as Miro, Lucidchart, draw\.io, Confluence, or Notion.

Education

A Master's degree in Computer Science, Information Systems, Data Science, Data Analytics, Computer Engineering, or a related field is preferred as specified in the original requirement. Equivalent relevant work experience may also be considered.

Interview Process

1. Mandatory in person test at the office
2. L1 Technical Interview
3. L2 Technical Interview
4. Client Interview