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Data Engineer | Nikol, Ahmedabad | 35,00050,000/Month | Immediate Joiners Job Title - Data Engineer Industry - IT | Software Development | Data Engineering | Analytics | Technology Job Type - Full-Time Location - Nikol, Ahmedabad, Gujarat Experience - 13 Years Salary - 35,000 50,000 Per Month Joining - Immediate Joiners Preferred Job Summary We are looking for a talented and detail-oriented Data Engineer to join our team in Nikol, Ahmedabad. The ideal candidate should have experience in designing, developing, and maintaining scalable data pipelines, ETL processes, and cloud-based data solutions. If you have a passion for working with big data, databases, SQL, and modern data engineering tools, we'd love to hear from you. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines. Build and optimize data integration workflows from multiple data sources. Develop, maintain, and optimize SQL queries, stored procedures, and database performance. Work with structured and unstructured datasets for business reporting and analytics. Ensure data quality, integrity, security, and governance across platforms. Collaborate with Data Analysts, BI Developers, and Software Engineers to support business requirements. Monitor data pipelines and troubleshoot data-related issues. Create technical documentation for data architecture and workflows. Support cloud-based data platforms and warehouse solutions. Implement best practices for data engineering and automation. Required Skills SQL Python ETL Development Data Pipelines Data Warehousing Database Management MySQL PostgreSQL Microsoft SQL Server Azure Data Factory (Preferred) AWS Data Services (Preferred) Google Cloud Platform (Preferred) Apache Spark (Preferred) Power BI / Tableau (Preferred) Data Modeling API Integration Git Problem Solving Analytical Skills Communication Skills Eligibility Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field. 13 years of experience in Data Engineering or Data Integration. Strong knowledge of SQL and Python. Experience with ETL tools, databases, and cloud technologies is preferred. Immediate Joiners Preferred. Why Join Us? Competitive Salary: 35,00050,000 per month Opportunity to work on modern data engineering projects. Professional and collaborative work environment. Career growth and learning opportunities. Exposure to cloud technologies and enterprise data platforms. Performance-based growth and recognition. Apply Now Email your updated resume to: hr@secret-spirit. com Immediate Joiners Preferred!
Looking for Data Analyst | SEGULA Technologies | Pune | Power BI, SQL, Python | Immediate Joiners Job Title - Data Analyst Company - SEGULA Technologies Industry - IT Services | Engineering | Data Analytics | Technology Job Type - Full-Time Location - Pune Shift - 2nd Shift Experience - 28 Years Notice Period - Immediate Joiners Preferred Email your resume to -: harshada. khandojisawale@segulagrp. com Job Summary SEGULA Technologies is hiring experienced Data Analysts for its growing team in Pune. We are looking for professionals with expertise in Power BI, SQL, Python, PySpark, Databricks, Snowflake, Dashboard Development, and Data Visualization. If you're passionate about transforming data into meaningful business insights, this is an excellent opportunity to advance your career. Key Responsibilities Develop interactive dashboards using Power BI. Analyze and interpret large datasets to support business decisions. Write optimized SQL queries for data extraction and reporting. Build and maintain ETL pipelines using Python and PySpark. Work with Databricks and Snowflake for cloud data processing. Create data visualizations and business intelligence reports. Collaborate with business stakeholders to understand reporting requirements. Ensure data quality, accuracy, and consistency. Automate reporting and improve analytics processes. Support data-driven decision-making across teams. Required Skills Power BI SQL Python PySpark Databricks Snowflake Dashboard Development Data Visualization Data Analysis Business Intelligence (BI) Eligibility Bachelor's degree in Computer Science, IT, Engineering, Mathematics, Statistics, or a related field. 28 years of relevant experience in Data Analytics or Business Intelligence. Strong analytical, problem-solving, and communication skills. Immediate Joiners Preferred. Benefits Competitive Salary Career Growth Opportunities Learning & Development Programs Professional Work Environment Exposure to Modern Data Technologies Collaborative Team Culture
Data Analyst Executive (Freshers) Software Company (Day Shift) Job Title - Data Analyst Executive Industry - Software Company / IT Services Department - Data Analytics Job Type - Full-Time Experience - Freshers (0 Years) Location - Delhi & Noida Salary - 25,000 35,000 per month Shift - Day Shift Joining - Immediate Joiners Preferred Work from Office Job Summary We are looking for enthusiastic and analytical Freshers to join our team as Data Analyst Executives. This is an excellent opportunity for candidates who are passionate about data analysis, reporting, business intelligence, and data visualization. The selected candidate will be responsible for collecting, cleaning, analyzing, and interpreting data to help the business make informed decisions. Training will be provided to deserving candidates with strong analytical and problem-solving skills. Key Responsibilities Collect, organize, and analyze large datasets. Clean and validate data to ensure accuracy and consistency. Prepare daily, weekly, and monthly MIS reports. Generate dashboards and reports using Excel and BI tools. Identify trends, patterns, and business insights from data. Perform data validation and quality checks. Create charts, graphs, and visual reports. Assist business teams with data-driven decision-making. Prepare performance reports and KPI dashboards. Support data migration and data management activities. Maintain confidentiality of company data. Coordinate with cross-functional teams for reporting requirements. Required Skills Microsoft Excel (Advanced) Data Analysis Data Cleaning Data Validation MIS Reporting Data Visualization Analytical Skills Logical Reasoning Problem Solving SQL (Basic Knowledge Preferred) Power BI (Preferred) Google Sheets Dashboard Reporting Data Interpretation Pivot Tables VLOOKUP XLOOKUP Excel Formulas Charts & Graphs Business Reporting KPI Reporting Communication Skills Attention to Detail Time Management Teamwork Eligibility B. Tech, BCA, B. Sc (Computer Science/IT), B. Com, BBA, BA, MCA, M. Sc, MBA or equivalent. Freshers are welcome to apply. Good knowledge of Microsoft Excel. Basic knowledge of SQL or Power BI is an added advantage. Strong analytical and mathematical skills. Good communication and presentation skills. Immediate joiners preferred. Preferred Technical Skills Microsoft Excel SQL Power BI Google Sheets Microsoft PowerPoint MS Office Data Analytics Business Intelligence (BI) Data Reporting Dashboard Creation Employee Benefits Fixed Salary: 25,000 35,000 per month Performance-Based Salary Increment Paid Training Career Growth Opportunities Day Shift Five/Six Days Working (As Per Company Policy) Friendly Work Environment Learning & Development Programs Paid Leaves Employee Recognition Programs Job Location Noida Sector 62 Noida Sector 63 Noida Sector 125 Noida Sector 132 Noida Noida Extension Greater Noida Delhi South Delhi Central Delhi East Delhi West Delhi North Delhi Delhi NCR
We are currently hiring for the position of Online Office Assistant (Remote) for a company based in Canada. Job Details: Remote position (Work from Home) Flexible working hours Open to freshers and experienced candidates Basic computer and communication skills required Key Responsibilities: Data entry and email handling Supporting daily administrative tasks Coordinating with team members remotely Compensation: Salary :- 30000 - 60000 Monthly (without Tax) Application Process: Please send your resume directly or apply via message. Only shortlisted candidates will be contacted. Thank you!
Senior Data Engineer Technical Expert / Lead Location: Sector 63 Noida, Department: Data Engineering / Analytics / Technology Reports To: Head of Data Engineering / Director Technology Job Summary: We are looking for a Senior Data Engineer Technical Expert to lead the design, development, and optimization of our data infrastructure and pipelines. The ideal candidate will possess deep expertise in modern data engineering technologies, data modeling, ETL frameworks, and cloud platforms. As a lead-level data professional, you will mentor junior engineers, drive best practices, and collaborate closely with data scientists, analysts, and product teams to deliver scalable, high-performance data solutions. Key Responsibilities: Lead the design, architecture, and implementation of large-scale data pipelines and ETL processes. Develop, optimize, and maintain data ingestion, transformation, and storage solutions across multiple systems. Build and manage data models, schemas, and data warehouses to support analytics and reporting needs. Ensure data integrity, accuracy, and reliability through automated validation and monitoring mechanisms. Collaborate with cross-functional teams (Data Science, BI, Product, DevOps) to define and deliver high-quality data solutions. Implement and enforce data engineering standards, best practices, and governance frameworks. Oversee data migration and integration projects across on-premises and cloud environments (AWS, Azure, or GCP). Evaluate and recommend new technologies, tools, and methodologies to enhance the data ecosystem. Lead, mentor, and guide junior engineers, conducting code reviews and technical training sessions. Ensure solutions are scalable, secure, and cost-efficient within the organizations cloud infrastructure. Qualifications & Skills: 5+ years of hands-on experience in Google AppSheet & Google Looker Strong understanding of App Script, Data Modeling, and Automation Logic Ability to lead and guide existing junior data engineers Experience in project delivery, best practices, and workflow design Engagement Type: Full-time contract-based resource Project time line-3-4 months Education: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Experience: 712 years of experience in data engineering, with at least 23 years in a lead or senior technical role. Strong proficiency in SQL, Python, and/or Scala. Expertise in ETL tools and frameworks (e. g., Apache Airflow, Informatica, Talend, dbt). Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or Flink. Deep understanding of data modeling, warehousing (Snowflake, Redshift, BigQuery), and OLAP systems. Proven experience with cloud data platforms (AWS Glue, Azure Data Factory, GCP Dataflow, etc.). Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and version control (Git). Knowledge of data governance, security, and compliance frameworks. Excellent problem-solving, analytical, and leadership skills. Strong communication and collaboration abilities for cross-functional coordination. Preferred Qualifications: Certification in AWS, Azure, or GCP Data Engineering. Experience in real-time data processing and streaming analytics. Exposure to machine learning pipelines or MLOps frameworks. Familiarity with tools like Databricks, Terraform, or Apache NiFi. What We Offer: Competitive compensation with performance-based incentives. Opportunity to lead and influence strategic data initiatives. Exposure to cutting-edge technologies in cloud and big data. Collaborative, innovation-driven work environment. Learning and certification support for continuous growth. ("Senior Data Engineer" OR "Lead Data Engineer" OR "Technical Expert" OR "Principal Data Engineer") AND ("Python" OR "Spark" OR "Databricks" OR "Snowflake" OR "AWS") AND ("ETL" OR "Data Pipeline" OR "Data Warehouse") AND ("Noida" OR "Delhi NCR")
The Data Analyst sector is among the most active hiring domains across India's employment hubs, including Delhi-NCR, Mumbai, Bengaluru, Hyderabad, Chennai, and Pune. Whether you are a recent graduate or an experienced professional, understanding the job market, required qualifications, and salary expectations will help you make the most of your job search.
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