Data Analyst

Overview:
We are seeking an experienced Data Engineer & Analytics Developer with 3 – 5 years of experience in designing and implementing data-driven solutions across various industries. The ideal candidate should have expertise in multiple database tools, ETL processes, and data analytics frameworks, with a strong ability to optimize, transform, and analyze large datasets for business insights.

Experience: 3 – 5 years

No of Openings: 01

Job Type: Full-time

Key Responsibilities:

Data Engineering:

• Design, develop, and optimize data pipelines and ETL workflows to ensure efficient data flow and storage.
• Build and maintain scalable data warehouses, lakes, and marts using modern database technologies.
• Ensure data integrity, quality, and security while implementing industry best practices.
• Collaborate with software engineers, analysts, and stakeholders to define data requirements and architecture.

Database Management:

• Manage and optimize SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.).
• Design and implement data models to support business intelligence and analytics.
• Monitor, troubleshoot, and optimize database performance.

Data Analytics & Reporting:

• Develop data visualizations and dashboards using tools like Power BI, Tableau, or Looker.
• Implement predictive analytics models to support business decision-making.
• Work with stakeholders to define KPIs and metrics for data-driven insights.

Cloud & Big Data Solutions:

• Design and deploy data solutions on AWS, GCP, or Azure.
• Work with big data frameworks (Hadoop, Spark, Kafka) for real-time and batch processing.
• Implement serverless data processing where applicable.

Required Skills & Qualifications:

• 3 – 5 years of experience in data engineering and analytics development.
• Strong expertise in SQL, NoSQL databases, and data modeling.
• Hands-on experience with ETL tools (Apache Nifi, Talend, DBT, Airflow, Fivetran, etc.).
• Experience with data visualization tools (Tableau, Power BI, Looker).
• Proficiency in Python, R, or Scala for data manipulation and analytics.
• Experience with cloud-based data solutions (AWS Redshift, Snowflake, BigQuery, Azure Synapse).
• Familiarity with big data technologies (Apache Spark, Hadoop, Kafka).
• Understanding of data governance, security, and compliance best practices.
• Strong problem-solving and communication skills.