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29 Data Economy Jobs

Lead ETL Data Engineer

5-8 years

Hyderabad / Secunderabad

1 vacancy

Lead ETL Data Engineer

Data Economy

posted 3+ weeks ago

Job Description

We are seeking a Lead ETL Data Engineer to design, develop, and optimize data pipelines, ensuring smooth data integration across our platforms. This role will lead a team of ETL developers and work closely with data analysts, engineers, and business stakeholders to drive data solutions in a cloud environment.
Key Responsibilities:
\u2705 ETL Development Data Pipeline Design
  • Lead the design, development, and optimization of ETL processes using Talend (or similar ETL tools).
  • Build, automate, and maintain scalable data pipelines for efficient data processing.
  • Ensure data quality, consistency, and performance across ETL workflows.
    \u2705 Database Data Warehouse Management
    • Work with relational and NoSQL databases , ensuring optimized SQL queries for performance.
    • Implement data warehouse solutions (DWH) on AWS (Redshift, S3, Glue, RDS) or other cloud environments.
    • Perform data modeling to support business intelligence and analytics.
      \u2705 Leadership Collaboration
      • Guide and mentor a team of ETL developers and data engineers .
      • Collaborate with data scientists, analysts, and business teams to understand data needs.
      • Drive best practices in data governance, security, and compliance .
        \u2705 Performance Optimization Troubleshooting
        • Monitor and troubleshoot ETL performance issues .
        • Optimize database performance and ensure low-latency data processing.
        • Automate error handling and data recovery strategies.


          Requirements Required Skills Qualifications:
          \u2714 10 + years of experience in ETL development and data engineering .
          \u2714 Expertise in ETL tools like Talend, Informatica, or Apache NiFi .
          \u2714 Strong proficiency in SQL and database optimization techniques .
          \u2714 Hands-on experience with AWS cloud services (Redshift, Glue, Lambda, S3, RDS, etc.) .
          \u2714 Experience with big data technologies (Spark, Hadoop, or Kafka) is a plus.
          \u2714 Solid understanding of data modeling, warehousing (DWH), and governance .
          \u2714 Excellent problem-solving and communication skills .
          \u2714 Experience in leading a team and driving technical best practices.


          Benefits
          As per company standards.
          ","

Employment Type: Full Time, Permanent

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What people at Data Economy are saying

3.7
Rating based on 4 Data Engineer reviews

Likes

Great work life balance Great learning opportunity cross skill training programs Freedom to speak opinions to higher authorities

  • Salary - Excellent
  • +6 more
Dislikes

Upto now i couldn't find any

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Data Engineer salary at Data Economy

reported by 27 employees with 2-3 years exp.
₹5.2 L/yr - ₹11.5 L/yr
27% less than the average Data Engineer Salary in India
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What Data Economy employees are saying about work life

based on 58 employees
86%
95%
60%
75%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Data Economy Benefits

Work From Home
Soft Skill Training
Health Insurance
Cafeteria
Education Assistance
Gymnasium +6 more
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