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Data Engineer

SID Global Solutions -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Qualifications

BCS
Power BI
Data modeling
Azure
Computer Science
Cassandra
Relational databases
Big data
Spark
Microsoft SQL Server
NoSQL
MongoDB
Tableau
Java
Master's degree
Databases
SQL
Database design
Analysis skills
Bachelor's degree
PostgreSQL
Scala
Talend
Software development
APIs
ETL
Apache
Kafka
Data visualization
Redshift
Informatica
Communication skills
Data warehouse
Python
MySQL
Hadoop
Information Technology

Full job description

Job Information

Job Opening ID

ZR_1158_JOB

Date Opened

04/08/2026

Industry

IT Services

Job Type

Full time

City

Hyderabad

State/Province

Telangana

Country

India

Zip/Postal Code

500082

Job Description

Job Title: Senior Data Engineer

Job Summary

We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data infrastructure and pipelines. This role requires close collaboration with data scientists, developers, and business stakeholders to ensure high data availability, quality, and reliability across the organization.

Key Responsibilities

Design, develop, and maintain scalable data pipelines to ingest, process, and store large volumes of data from multiple sources.
Implement and manage ETL (Extract, Transform, Load) processes to convert raw data into structured, analytics-ready formats.
Integrate data from diverse sources including databases, APIs, third-party systems, and data warehouses.
Ensure data consistency, integrity, and reliability across various data platforms.
Design, manage, and optimize databases, data warehouses, and data lakes.
Write and optimize complex SQL queries, including joins across multiple databases and tables.
Implement data quality checks, validation rules, and monitoring mechanisms.
Troubleshoot and debug data pipeline issues to ensure uninterrupted data flow.
Collaborate with data scientists, developers, and business stakeholders to gather requirements and deliver data solutions.
Document data pipelines, workflows, and technical processes.
Establish and enforce data engineering best practices, including coding standards, version control, and testing.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (Master’s degree is a plus).
5+ years of experience in Data Engineering, Software Development, or related roles.
Strong experience with data warehousing solutions such as:
- Amazon Redshift
- Google BigQuery
- Snowflake
- Azure Synapse
Hands-on experience with ETL tools and frameworks such as:
- Apache Airflow
- Apache NiFi
- Talend
- Informatica
Proficiency in SQL and relational databases (PostgreSQL, MySQL, SQL Server).
Programming experience in Python, Java, or Scala.
Familiarity with big data technologies like Hadoop, Spark, and Kafka.
Strong understanding of data modeling and database design principles.
Excellent problem-solving, analytical, and communication skills.
Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

Consulting experience with reputed organizations.
Experience with NoSQL databases (MongoDB, Cassandra).
Knowledge of data visualization tools such as Tableau or Power BI.
Exposure to cloud-based data platforms and modern data architectures.

Apply Now

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Job Title: Senior Data Engineer

Job Summary

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