Sr. Data Engineer

Key Responsibilities:

• Extract and process data from multiple databases, APIs, and cloud platforms by establishing strong source connections.
• Design, develop, and maintain ETL pipelines for efficient data transformation and ingestion.
• Write and optimize complex SQL queries for data extraction, validation,andreporting.
• Utilize PySpark and BigData technologies(Hadoop, Spark, Databricks,etc.)to process and analyze large datasets.
• Perform data analysis using Python (Pandas, NumPy,etc.)to uncover trends, patterns, and insights.
• Develop and maintain interactive dashboards and reports in Power BI (good to have).
• Work with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Experience in Data warehouse schema creation and optimization
• Ensure data accuracy, security, and compliance with company policies.
• Present analytical findings and recommendations to stakeholders in a clear and actionable manner.

Required Skills & Qualifications:

• Minimum 5+ Years of experience in data analytics, data engineering, or business intelligence.
• Strong expertise in SQL(writing, optimizing, and managing complex queries).
• Hands-on experience in ETL processes and building/maintaining data pipelines.
• Experience working with Big Data technologies (Hadoop, Spark, PySpark, Databricks, etc.).
• Proficiency in Python for data analysis(Pandas, NumPy, etc.).
• Experience in connecting to and processing data from multiple data sources (databases, APIs, cloud platforms).
• Experience of working on Cloud platforms ( Azure /AWS / GCP)
• Experience of delivering the Projects
• Experience in requirement understanding
• Experience in preparing estimations and creating POCs
• Experience of working with different Project domains.
• Proficiency in delivering high–quality code to clients
• Proficiency in Data warehouse schema creation.
• Experience in client communication.
• Strong analytical and problem-solving skills.
• Experience of mentoring and managing the team.

Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Work Location: In person