SID Global Solutions is a premier AI-first digital transformation company, delivering intelligent full-stack solutions and services worldwide. We specialize in embedding AI across the enterprise to accelerate transformation, modernize technology, and unlock new revenue streams. Our core expertise spans AI-powered modernization, cloud and infrastructure solutions, application innovation, and advanced data analytics. As a leading Google Apigee implementation partner, we also bring you SAMi-Smart API Monetization Platform our flagship platform for API management. With a global footprint and 1000+ professionals, SID Global Solutions is committed to building a smarter, AI-driven future through innovation and impact.

Job Title : Data Engineer

Location : Somajiguda, Hyderabad

Work Mode : Onsite

Shift Timings : 3 : 00 PM - 12 : 00 AM IST

Job Summary :

We are seeking an experienced 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 :

- Bachelors degree in computer science, Engineering, Information Technology, or a related field (Masters degree is a plus).

- 5+ years of experience in Data Engineering, Software Development, or related roles.

Strong experience with data warehousing solutions such as :

1. Amazon Redshift

2. Google BigQuery

3. Snowflake

4. Azure Synapse

Hands-on experience with ETL tools and frameworks such as :

1. Apache Airflow

2. Apache NiFi

3. Talend

4. 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.

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Posted in

Data Engineering

Functional Area

Data Engineering

Job Code

1631092

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