Senior Data Engineer Job at Talentica

Senior Data Engineer

Talentica

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a Senior Data Engineer with strong experience in building modern, scalable data platforms. You will work closely with customers, product teams, and engineering stakeholders to design and implement enterprise-grade data analytics solutions. This role requires deep expertise in data engineering, data modeling, and lakehouse architectures, along with the ability to lead technical discussions, mentor engineers, and drive best practices.

Job Responsibility:

Build enterprise-grade data analytics platforms from scratch
Partner with customers on their product vision, roadmap and goals and design the high/low level technical designs
Build modern data analytics platforms using Apache Iceberg v2/v3, Data lakehouse or Medallion architecture, AWS Sagemaker Studio/Microsoft Fabric/Databricks, Python, Spark, AWS Glue, Kafka, Debezium
Design and Implement meta-data driven multi-source data integration pipelines for relational and non-relational databases, file systems to process GBs of data
Implement PHI-compliant data processing with automated data anonymization and PHI data stripping
Implement data quality frameworks and validation pipelines to grade data quality
Data modelling, and database design to ensure sub-minute query performance
Collaborate with tech experts, share learnings, do research and POCs to build reusable solutions
Mentor peer engineers, lead code reviews, conduct architecture discussions, publish Architecture Design Review Documents. drive technical excellence
Lead research, POCs, and prototypes to build reusable solutions and cool products in different domains like healthcare, media, IoT, e-commerce, mobile, networking, and lots more

Requirements:

BE/BTech in Computer Science from a recognized university
6 to 8 years of hands-on experience in building data platforms and data engineering solutions
Strong proficiency in Python and PySpark for large-scale data processing
Strong expertise in data modeling and schema design (Star and Snowflake schemas, Normalized schemas, Slowly Changing Dimensions, Data Vault, Denormalized/Wide-table patterns)
Strong SQL skills with experience in relational databases (PostgreSQL preferred)
Experience with AWS cloud services (S3, Glue, Athena, EMR, EC2, Sagemaker)
Experience working in fast-paced Agile environment
Hands-on experience with AWS Sagemaker Studio or Microsoft Fabric or Databricks platform
Hands-on experience in Apache Iceberg or similar lakehouse technologies
Deep expertise in data warehouse and lakehouse architectures (Medallion, others) using Databricks, and Open-source stack
Knowledge of data quality frameworks and validation techniques
Strong experience with Data Lakehouse/Medallion architectures
Hands-on data engineering experience using AWS SageMaker Studio or (Microsoft Fabric/ Databricks)
AWS Glue, EMR, Athena, and S3
Expertise in Apache Iceberg (v2/v3)
Strong programming skills in Python, Apache Spark, and SQL

Nice to have:

Experience with Debezium (CDC) and Apache Kafka
Ability to lead data modeling and schema design initiatives
Experience authoring Architecture Design Review (ADR) documents

What we offer:

A culture of innovation
Endless learning opportunities
Talented peers
Work-life balance
A great culture
Recognition & rewards

Additional Information:

Job Posted:
February 14, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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