Data Engineer

Deservely Technologies; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Deservely Technologies is seeking a Data Engineer with 4–8 years of experience to design, build, and maintain scalable data pipelines and platforms. The role requires strong SQL, Python, and ETL/ELT skills, with hands-on experience in analytics and BI data solutions.

The ideal candidate will work with relational and cloud databases, Airflow, Spark, and modern data warehousing practices, contributing to data quality and performance across business reporting and ML workflows.

Qualifications

• 4–8 years of data engineering experience.
• Strong SQL and Python proficiency.
• Experience designing and maintaining scalable data pipelines.
• ETL/ELT development for analytics and BI.
• Experience with cloud data platforms and data warehousing.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms.
• Collaborate with analytics and BI teams for reporting.
• Ensure data quality, governance, and performance optimization.
• Work in an Agile environment with cross-functional teams.

Skills

SQL

Python

ETL/ELT

Data modeling

Data warehousing

Data quality

Apache Airflow

Apache Spark

AWS

Azure

GCP

S3

Azure Data Factory

AWS Glue

Google Cloud Storage

Tools

MySQL

PostgreSQL

SQL Server

Snowflake

BigQuery

Apache Airflow

Apache Spark

AWS

Azure

GCP

S3

Azure Data Factory

AWS Glue

Google Cloud Storage

Job description

Experience

4–8 Years

Location

Indore/Bengaluru/Hyderabad /Pune

Employment Type

Full-Time / Contract / Contract-to-Hire

Job Overview

We are looking for a skilled Data Engineer with 4–8 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The candidate should have strong expertise in SQL, Python, and ETL/ELT processes, with hands‑on experience in developing reliable data solutions for analytics and business intelligence.

Technical Requirements

The candidate should be proficient in relational and cloud‑based databases such as MySQL, PostgreSQL, SQL Server, Snowflake, or BigQuery. Experience with data integration tools, workflow orchestration frameworks like Apache Airflow, and distributed data processing using Apache Spark is highly desirable. Strong knowledge of data modeling, data warehousing, performance optimization, and data quality management is essential.

Cloud & Tools

Hands‑on experience with cloud platforms such as AWS, Azure, or GCP, along with services like S3, Azure Data Factory, AWS Glue, or Google Cloud Storage, is preferred. Familiarity with Git, CI/CD pipelines, and scripting for automation is required.

Key Skills

Excellent analytical and problem‑solving skills, ability to work effectively in Agile environments, collaborate with cross‑functional teams, and ensure secure, scalable, and high‑quality data solutions that support business reporting, machine learning, and operational applications.

Additional

Skills: data, sql, cloud, aws