Data Engineer

Job Title: Data Engineer

Location: Pune (Hinjewadi)

Experience Required: 7-15 Years.

Notice Period: Serving Notice period OR Immediate Joiners

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+ and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Role Overview

We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize data pipelines and data marts on the Azure ecosystem. The ideal candidate will have deep hands-on experience with Python Programming, PySpark, SQL, and Good to have experience on Azure Databricks OR Any cloud exposure. You will work closely with data architects, SMEs, and business stakeholders to deliver scalable, secure, and high-quality data solutions.

Required Skills

• 7+ years of experience in Data Engineering.
• Strong expertise in Python, PySpark, and advanced SQL.
• Hands-on experience in Azure Databricks
• Hands-on experience in building large-scale data pipelines, data lakes, and data marts.
• Excellent understanding of Delta Lake, distributed computing, performance optimization.
• Experience with Azure Data Factory, ADLS, Synapse, Key Vault, CI/CD pipelines.
• Deep understanding of relational and dimensional modeling, star schemas, slowly changing dimensions (SCDs).
• Strong data quality, metadata, and governance practices.
• Knowledge of banking/financial services data and processes.

Key Responsibilities

Data Engineering & Development

• Design and build data marts, curated layers, and reusable data models for analytical and reporting needs.
• Develop high-performance ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.
• Work with large-scale structured and unstructured datasets using distributed computing techniques.
• Implement data transformation workflows aligned to medallion architecture (Bronze Silver Gold).

Azure Platform & Databricks

• Develop and optimize notebooks, jobs, Delta Lake tables, and data workflows within Azure Databricks.
• Implement Delta Lake best practicesACID transactions, schema enforcement, and time travel.
• Utilize Azure services such as ADLS Gen2, Azure Data Factory, Azure Synapse, Key Vault, API integrations, etc.
• Monitor and optimize cluster configurations, job performance, and cost management.

Data Governance & Quality

• Ensure data quality, lineage, security, and compliance with enterprise standards.
• Implement validation frameworks, unit tests, and automated QA processes.
• Work with data governance teams and tools (Collibra, Purview, Securiti.ai, etc.) to ensure compliance.

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[Confidential Information] With below details (Mandatory)

• Total IT Experience:
• Total Experience as Data Engineer (Pyspark):
• Total experience in Python Programming: