📢 Immediate Requirement – Senior Data Engineer (5 Positions) 📅 Joining Date: From 10th July 2025 💼 Experience: 5 to 7 years 💰 Compensation: ₹15 to ₹27 LPA 📍 Work Mode: Remote We are hiring Senior Data Engineers with strong hands-on experience in SQL, Python, Spark, and cloud-based ETL tools such as AWS Glue, Lambda, Step Functions, Azure Data Factory, or Databricks. ✅ Key Responsibilities: Build and maintain automated data pipelines Ensure data integrity, validation, and transformation Work with large datasets and ensure data quality Collaborate with cross-functional teams 🎯 Mandatory Skills: SQL (Postgres/Other RDBMS) Python for Data Processing Apache Spark Cloud ETL Tools (AWS Glue, Lambda, Step Functions, Azure Data Factory, Databricks) 🌟 Nice to Have Skills: AWS / Azure Cloud GitHub, Jenkins Terraform 📩 To Apply, Please Share Your CV with the Following Details: 1) Personal Information: Full Name: Contact Number: Email ID: 2) Job Preferences: Open to Contract Role (Yes/No): Open to Work from Home (Yes/No): Current Location: WFH Location (if different): 3) Experience Overview: Total Experience (Years): Cloud Experience (AWS/Azure – Glue, Lambda, Step Functions, ADF, Databricks): Spark (Years): Python for Data Processing (Years): SQL (Postgres/Other RDBMS): ETL/Data Pipelines (Automation & QA): Large Data Handling (Yes/No): Data Validation/Transformation (Yes/No): 4) Technical Skills Proficiency: Skill Level (Beginner / Intermediate / Expert) Python Spark SQL (Postgres) AWS (Glue, Lambda, Step Fn.) Azure (ADF / Databricks) Terraform GitHub (Nice to have) Jenkins (Nice to have) 5) Additional Skills / Certifications (if any): 6) Availability & Other Information: Current Notice Period: Last Working Day (if applicable): Reason for Job Change: Any Active Offers (Yes/No): Preferred Joining Timeline: Current CTC : Expected CTC: 🕒 Interview Timing: Weekdays, between 11:00 AM to 1:00 PM 📨 Interested candidates, please send your resume along with the above details to: 📧 jobspinakin@gmail.com 📞 Mr. Pinak Upadhyay 📍 Pinakin Recruitment Consultancy (Since 2005) 📱 9033442745
As a Senior Data Engineer, your role involves building and maintaining automated data pipelines to ensure smooth data flow. You will also be responsible for ensuring data integrity, validation, and transformation for accurate analysis. Working efficiently with large datasets and maintaining data quality standards will be crucial. Additionally, collaborating effectively with cross-functional teams to meet project requirements is an essential part of your responsibilities. Qualifications Required: - Strong hands-on experience in SQL (Postgres/Other RDBMS), Python for data processing, Apache Spark, and cloud-based ETL tools such as AWS Glue, Lambda, Step Functions, Azure Data Factory, or Databricks - Nice to have skills include knowledge of AWS/Azure Cloud, GitHub, Jenkins, and Terraform If you are interested in this role, please share your CV with the requested details to the provided email address. (Note: Omitted additional details of the company as it was not present in the provided Job Description),