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Technical Lead (AWS Data Engineering Lead)

Job Description:

Must-Have Skills

Cloud & Data Engineering (AWS)

  • Strong hands-on experience with:

    • Amazon S3, AWS Glue, Athena, Redshift

  • Experience designing cloud-native data lakes and data warehouses

  • Deep understanding of batch and streaming data pipelines

  • Experience building scalable and fault-tolerant data workflows

SQL & Python (Mandatory)

  • Strong expertise in SQL, including:

    • Complex transformations and aggregations

    • Performance tuning and analytics queries

  • Experience working with large-scale datasets in Redshift/Athena

  • Strong Python programming skills for data engineering use cases

PySpark / Spark Processing

  • Hands-on experience with Spark / PySpark

  • Build reusable ETL components and utilities

  • Strong understanding of:

    • Data modeling

    • Transformations

    • Performance optimization

Data Processing & Engineering

  • Experience with distributed processing frameworks (Spark/PySpark)

  • Handling structured, semi-structured, and unstructured data

  • Expertise in:

    • Schema design

    • Partitioning

    • Query optimization

DevOps & Platform Engineering

  • Experience with Infrastructure as Code (Terraform / CloudFormation)

  • Hands-on experience in building CI/CD pipelines for data platforms

  • Exposure to containerization (Docker, ECS, EKS)

Collaboration & Ownership

  • Strong ownership mindset for:

    • Solution quality

    • Performance

    • Production stability

  • Excellent communication and stakeholder collaboration skills

Good-to-Have Skills

  • Experience with streaming technologies (Kinesis, Kafka, MSK)

  • Exposure to Lakehouse architectures and modern data platforms

  • Integration with BI and analytics tools

  • Knowledge of:

    • Data governance

    • Data quality frameworks

    • Metadata management

  • Familiarity with FinOps (cost optimization on AWS)

  • Exposure to Marketing/Customer Data Platforms (CDP / MarTech)

  • Experience working in Agile delivery models with global teams

Education Qualification

  • Bachelor’s or master’s degree in:

    • Computer Science

    • Information Systems

    • Data Engineering

    • or related field

Certifications

  • Preferred:

    • AWS Certified Data Analytics

    • AWS Solutions Architect

(Any two preferred)

  • Plus:

    • Databricks

    • Snowflake or other cloud data platform certifications

Location:

DGS India - Mumbai - Goregaon Prism Tower

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent
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