Data Engineer/Consultant

Randstad India • Python • SQL • PowerShell • ETL/ELT • 1 month ago
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Salary
≈ $22k – $46k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp

First seen by Alion on Aug 17, 2026.

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Randstad India

Randstad is a leading recruitment agency specialised in connecting people with the right jobs, and employers with the right people.
randstad.in • Pune • UTC+05:30 • Recruiting & Staffing • Human Resources • Professional Services • 51-200 employees

Job Description :

We are looking for an experienced Data Engineer Consultant with strong expertise in ETL/ELT, SQL, Python and GCP. The role will focus on designing and developing scalable data engineering solutions and working with cloud-based data platforms and data pipelines. Experience working with Financial & Accounting data will be highly preferred for some team members.

Role & Responsibilities :

- Design and develop scalable ETL/ELT pipelines for processing large volumes of data.

- Develop efficient and optimized SQL queries for data extraction, transformation and loading.

- Build data engineering solutions using Python and GCP.

- Work with cloud data platforms including Google BigQuery.

- Develop and maintain batch processing and automation scripts.

- Work with databases such as Google BigQuery, Teradata and Microsoft SQL Server.

- Use GitHub and DevOps practices for source control, CI/CD and deployment.

- Develop and maintain data pipelines while ensuring data quality, reliability and performance.

- Troubleshoot data pipeline and production issues.

- Collaborate with business, data and technology teams to understand requirements and deliver solutions.

- Contribute to technical discussions and recommend improvements to data engineering processes.

Required Skills & Experience :

- 8 - 13 years of experience in Data Engineering.

- Strong hands-on experience with ETL/ELT methodologies.

- Strong SQL skills.

- Good experience with Python.

- Hands-on experience with GCP.

- Strong experience with Google BigQuery.

- Experience with Teradata and/or Microsoft SQL Server.

- Experience with GitHub and DevOps.

- Experience with Batch Scripting.

- Knowledge of PowerShell.

- Strong understanding of data pipelines and data processing.

- Excellent analytical and problem-solving skills.

Preferred :

- Experience working with Financial & Accounting data.

- Experience with large-scale data migration or transformation projects.

- Experience with cloud-based data engineering solutions.

Skills

Data Engineering, ETL, SQL, Python, Google Cloud Platform, Data Pipeline, BigQuery, Teradata, SQL Server

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