data engineer

Hiring for: ONE OF THE LEADING BANK IN INDIA

Role: Data Engineer

Positions: 1

Experience: 5 to 10 years

Location(s): Hyderabad

Type: On-site, Hybrid / Permanent

Salary: INR 8 - 12 LPA

Notice Period: 15 days

About the Role

We are seeking an experienced Data Engineer to join our Data & Analytics division, a core strategic team driving enterprise-wide digital transformation. This role offers the opportunity to design and build scalable data pipelines, manage complex data infrastructure, and enable data-driven decision-making across the organization. You will collaborate with cross-functional teams including Data Scientists, Business Analysts, and Infrastructure teams to deliver high-impact solutions in the banking and financial services domain.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines and data workflows using industry-standard tools and frameworks

• Build and optimize cloud-based data platforms and data lakes (AWS/Azure/GCP) to support real-time and batch processing requirements

• Implement data quality frameworks, monitoring, and validation mechanisms to ensure data accuracy and integrity across systems

• Collaborate with stakeholders to understand business requirements and translate them into scalable technical data solutions

• Perform performance tuning, optimization, and troubleshooting of data systems and pipelines for efficiency and reliability

• Document data architectures, pipelines, and processes while maintaining best practices for code quality and version control

Requirements & Qualifications

Must-Have:

• 5-10 years of professional experience in data engineering, data infrastructure, or related roles

• Strong proficiency in SQL, Python, or Scala with expertise in building production-grade data pipelines

• Hands-on experience with big data technologies such as Apache Spark, Hadoop, or similar distributed computing frameworks

• Demonstrated experience with cloud platforms (AWS, Azure, or GCP) and data warehouse solutions (Snowflake, BigQuery, Redshift)

• Strong understanding of data modeling, ETL processes, and relational/non-relational databases

Nice-to-Have:

• Experience with streaming data platforms (Kafka, Kinesis, Pub/Sub) and real-time data processing

• Familiarity with containerization and orchestration tools (Docker, Kubernetes) and infrastructure-as-code practices

• Knowledge of data governance, data lineage, and metadata management frameworks

• Prior experience in the banking, financial services, or regulated industry environments

• Certifications in cloud platforms or relevant data engineering credentials

What We Offer

• Highly competitive compensation package with performance-based incentives and annual bonuses

• Comprehensive health and wellness benefits including medical insurance for self and family members

• Professional development opportunities through training programs, certifications, and career progression pathways

• Collaborative work environment with access to cutting-edge technologies and exposure to enterprise-scale data challenges