Data Analytics Engineer

1 day ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 18,00,000 per year

This role is for one of the Weekday's clients

Min Experience: 3 years

Location: Bengaluru

JobType: full-time

We are seeking a talented and motivated Data Engineer who is passionate about transforming raw data into meaningful insights and building scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining data infrastructure that supports analytics, reporting, and machine learning workflows. You will collaborate closely with cross-functional teams to ensure seamless data flow, high-quality datasets, and actionable intelligence for business growth. This position is ideal for someone who enjoys solving complex data challenges, optimizing performance, and enabling data-driven decision-making.

Key Responsibilities

  • Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data.
  • Develop and manage data lakes, warehouses, and marts to support analytics and reporting.
  • Build efficient and scalable data models ensuring clean, well-structured datasets for business use.
  • Support real-time and batch data processing, leveraging tools such as Spark, Kafka, or Hadoop.
  • Ensure strong data governance, security, and quality control across all data systems.
  • Collaborate with engineering and AI teams to provide reliable data inputs for machine learning and predictive analytics.
  • Conduct exploratory data analysis (EDA) to uncover insights and improve data understanding.
  • Create interactive dashboards and business reports using Power BI, Tableau, or Looker.
  • Automate recurring reporting processes and build KPI-monitoring systems for key stakeholders.
  • Perform data validation, performance optimization, and troubleshooting to maintain system reliability.
  • Translate complex data findings into clear, actionable insights for business and product teams.

What Makes You a Great Fit

  • Strong proficiency in Python with hands-on experience using Pandas, NumPy, and PySpark.
  • Expertise in advanced SQL — including complex queries, joins, and performance optimization.
  • Practical experience with ETL tools like Azure Data Factory, Airflow, or Pentaho.
  • Solid understanding of data modeling, architecture, and data warehousing principles.
  • Proficiency in business intelligence tools such as Power BI, Tableau, or Looker.
  • Experience working in cloud environments like Azure, AWS, or GCP.
  • Strong analytical mindset with excellent problem-solving and communication skills.
  • Ability to work collaboratively with technical and non-technical teams to deliver impactful solutions.
  • Exposure to ML/AI data pipelines, API integrations, and CI/CD practices is a plus.
  • A proactive, detail-oriented approach with a passion for clean, reliable, and optimized data systems.

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