Data Engineer

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  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).
4+ years  of experience in  Data Engineering, Software Development, or related roles .
Strong experience with  data warehousing solutions  such as:
Amazon Redshift
Google Big Query
Snowflake
Azure Synapse
Hands-on experience with  ETL tools and frameworks  such as:
Apache Airflow
Apache Ni Fi
Talend
Informatica
Proficiency in  SQL  and relational databases (Postgre

SQL, 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  No

SQL databases  (Mongo

DB, Cassandra).
Knowledge of  data visualization tools  such as Tableau or Power BI.
Exposure to cloud-based data platforms and modern data architectures.