Data Engineer

Company Profile : Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep knowledge in risk, analytics, AI / ML, AML / FCC, and fraud. By converging this expertise with cutting edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Job Title : Sr. Data Engineer

Experience : 4-7 years of relevant experience

Location & Timings : Pune – Work from office & Timing - 11 : 00 AM – 8 : 00 PM

Education Qualification : Masters or bachelor's in computer science or IT or in other relevant discipline from a reputed institute.

Role Type : Permanent / Full Time.

Job Descriptions :

We are seeking a skilled and detail-oriented Data Engineer with 4 to 7 years of experience, particularly strong in Python and PySpark / Spark. The ideal candidate will have hands-on expertise in ETL transformation processes and will play a key role in analyzing data, building data pipelines, and delivering insights to support business decisions.

Responsibilities :

• Develop and maintain scalable ETL processes for data extraction, transformation, and loading using Python and Spark.
• Analyze complex data sets to identify trends, patterns, and actionable insights.
• Collaborate with data engineers, data scientists, and business stakeholders to define data requirements and support analytics initiatives.
• Develop efficient data processing scripts using Python (Pandas, PySpark, etc.).
• Build and optimize data models, schemas, and data warehouses to support analytics and reporting needs.
• Collaborate with cross-functional teams to ensure data quality, integrity, and availability.
• Integrate data from multiple sources such as APIs, databases, and streaming platforms (Kafka, Kinesis, etc.).
• Implement and maintain data monitoring, validation, and governance frameworks.
• Work with cloud data platforms (e.g., AWS, GCP, or Azure) and related services (e.g., AWS Glue, Lambda, S3, Redshift).
• Participate in code reviews, maintain documentation, and follow best practices in CI / CD and version control (Git).

Required Key Skills :

Good to Have :

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