Senior Data Engineer / Data Solutions Engineer

Company: Attributics Tech Private Limited

Location: Pune

Experience: 5–8 Years

Employment Type: Full-time

About Attributics

Attributics is a MarTech consulting and technology services company helping leading brands build modern data platforms, customer data infrastructure, analytics and AI-driven solutions.

We work with brands across retail, BFSI, QSR and other industries to design and implement scalable data engineering and cloud-based solutions.

Role Overview

We are looking for a hands-on Senior Data Engineer / Data Solutions Engineer with strong expertise in data engineering, data modelling, ETL/ELT pipelines and modern cloud data platforms.

The ideal candidate should be capable of independently designing and building end-to-end data solutions, while working closely with clients and stakeholders to translate business requirements into scalable technical architectures.

Key Responsibilities

• Design, develop and optimise scalable ETL/ELT pipelines using Python, PySpark and Spark SQL.
• Build robust data processing solutions with incremental ingestion, batch processing and data transformations.
• Design enterprise data models using Star/Snowflake schemas, dimensional modelling and Medallion Architecture (Bronze, Silver, Gold layers).
• Work hands-on with Databricks or Snowflake, Delta Lake and cloud data platforms.
• Develop data transformations, testing and documentation using dbt.
• Build and manage workflow orchestration using Apache Airflow.
• Optimise Spark jobs, SQL queries, pipeline performance and cloud costs.
• Implement data quality checks, monitoring, logging and error handling.
• Work with clients and internal teams on technical discovery, solution design and architecture discussions.
• Prepare technical documentation, data flow diagrams and solution designs.
• Take ownership of end-to-end implementation, delivery and production support.

Required Skills & Experience

• 5–8 years of relevant experience in Data Engineering.
• Strong hands-on expertise in Databricks or Snowflake.
• Proficiency in Python, PySpark, Spark SQL and advanced SQL.
• Strong understanding of data modelling, ETL/ELT and data warehousing.
• Experience with Medallion Architecture, Delta Lake and distributed data processing.
• Hands-on experience with dbt and Apache Airflow.
• Experience building incremental, scalable and reliable data pipelines.
• Knowledge of AWS, Azure or GCP.
• Strong problem-solving, communication and stakeholder-management skills.

Good to Have

• Experience with CDC and real-time/streaming data pipelines.
• Knowledge of Kafka or similar streaming technologies.
• Experience with CI/CD, Git and automated deployments.
• Exposure to data governance, metadata management and data security.
• Experience in MarTech, CDP, retail, BFSI or QSR data ecosystems.
• Previous experience in consulting or client-facing technical delivery.

What We Are Looking For

A strong hands-on engineer who can independently own data engineering solutions, understand business requirements, engage with clients and take responsibility for technical design, implementation and delivery.