Senior Data Engineer / Data Solutions Engineer

Attributics
Pune District, Maharashtra, India

Company: Attributics Tech Private Limited

Location: Pune

Experience: 5–8 Years

Employment Type: Full-time

About AttributicsAttributics 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 OverviewWe 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 ForA 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.

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This is based in Pune District, Maharashtra.

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