Senior Data Engineer

important Note (Please Read Before Applying)

Do NOT apply if:

You have less than 5 years of Pyspark Data Engineerexperience.

You do not have hands-on Banking experience.

You are on a notice period longer than 15 days.

You are looking for remote only (role is hybrid in Bangalore).

You are a fresher or from unrelated backgrounds (e.g., Java-only, Testing-only, Support).

Apply ONLY if you meet ALL criteria above. Random / irrelevant applications will not be processed.

Job Title: Pyspark (Data Engineer)

Location: Bangalore(Hybrid)

Experience: 58 Years (STRICTLY)

Employment Type: Permanent

Notice Period: Immediate Joiners / <15 Days Only

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Job Description.

1. Design, develop, and maintain scalable data pipelines using PySpark for processing large volumes of structured and unstructured data.
2. Develop and manage ETL/ELT workflows using Informatica BDM.
3. Work closely with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
4. Optimize data processing jobs to ensure high performance and reliability. Implement data quality, data governance, and data validation processes. Integrate data from multiple sources including databases, APIs, and enterprise systems. Support data warehouse and data lake initiatives within the organization.Ensure compliance with banking regulatory and security standards. Troubleshoot and resolve data pipeline issues and performance bottlenecks. Participate in code reviews, testing, and deployment processes to maintain high development standards.

Required Skills & Qualifications

• 5+ years of experience in Data Engineering or related roles.
• Strong hands-on experience with 5 years inPySpark for large-scale data processing.
• Solid experience with Informatica BDM (Big Data Management).
• Experience working with Big Data technologies and distributed data processing frameworks.
• Strong knowledge of SQL and data modeling concepts.
• Experience with data integration, ETL development, and workflow orchestration.
• Familiarity with cloud platforms or big data ecosystems (Hadoop/Spark environments) is a plus.
• Good understanding of data governance, security, and compliance requirements in banking.
• Strong analytical, problem-solving, and communication skills.

Domain Requirement:

Mandatory experience in the Banking or Financial Services domain, preferably working with enterprise data platforms, regulatory reporting systems, or large-scale financial datasets.

Preferred Qualifications

Experience with data lake architectures and data warehouse platforms.

Exposure to Agile development methodologies.

Knowledge of Python-based data engineering frameworks and automation.

Mandatory Skills:

Pyspark 5 years

Banking or Finance 3 years

python 3 years