Data Engineers

Growel Softech Pvt Ltd; Bengaluru Urban; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

A tech company in Bengaluru is seeking a skilled Data Engineer experienced in Databricks, PySpark, Python, SQL, and various AWS services. The role involves designing and maintaining data pipelines, optimizing SQL queries, and implementing integrations across cloud solutions. Ideal candidates should have over 7 years of experience, demonstrating strong problem-solving abilities and communication skills. This is a full-time position, offering competitive compensation and opportunities for growth.

Qualifications

• 7+ years of experience in data engineering or related field.
• Hands-on experience with ETL/ELT pipelines.
• Proficiency in SQL with experience in performance tuning.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks and PySpark.
• Develop and optimize complex SQL queries for data extraction.
• Implement data integration solutions across AWS services.

Skills

Databricks

PySpark

Python

SQL

AWS Services

Data modeling

CI/CD pipelines

Git

Workflow orchestration

Job description

Growel Softech Pvt Ltd provided pay range

This range is provided by Growel Softech Pvt Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$1,400,000.00/yr - $2,800,000.00/yr

Experience: 7+ years

Location: Bangalore

Skills Required: Databricks, PySpark & Python, SQL, AWS Services

Project Overview & Role Scope

We are seeking highly skilled Data Engineers with strong experience in Databricks, PySpark, Python, SQL, and AWS to join our data engineering team.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks and PySpark.
• Develop and optimize complex SQL queries for data extraction, transformation, and analysis.
• Implement data integration solutions across AWS services (S3, Glue, Lambda, Redshift, EMR, etc.).
• Collaborate with analytics, data science, and business teams to deliver clean, reliable datasets.
• Ensure data quality, performance, and reliability across workflows.
• Participate in code reviews, architecture discussions, and performance optimization.
• Support migration and modernization of legacy systems to cloud-based solutions.

Key Skills

• Hands‑on experience with Databricks, PySpark & Python for ETL/ELT pipelines.
• Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).
• Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).
• Experience with data modeling, schema design, and performance optimization.
• Familiarity with CI/CD pipelines, Git, and workflow orchestration (Airflow preferred).
• Excellent problem‑solving and communication skills.

Seniority level: Mid‑Senior level

Employment type: Full-time

Job function: Information Technology

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