Technical Lead (AWS Data Engineering Lead)

Merkle Italia; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Merkle India in Mumbai (Goregaon) is seeking a cloud and data engineering expert to design and implement scalable data pipelines on AWS, including S3, Glue, Athena, and Redshift. The role demands deep SQL and Python skills, experience with Spark/PySpark, data lake/warehouse design, and handling large datasets.

You will develop reusable ETL components, apply schema design and performance optimization, collaborate with analytics and BI teams, and contribute to CI/CD pipelines, Terraform, Docker

Qualifications

• Must have strong hands-on experience with cloud data engineering on AWS.
• Proficient in SQL and Python for data engineering tasks.
• Experience designing cloud-native data lakes and data warehouses.

Responsibilities

• Build and maintain scalable data pipelines in AWS (S3, Glue, Spark, Redshift).
• Develop reusable ETL components and utilities.
• Optimize data processing performance and ensure data quality in production.

Skills

Cloud AWS

S3

Glue

Athena

Redshift

SQL

Python

PySpark

Spark

ETL

Data Modeling

Partitioning

Query optimization

Terraform

CI/CD

Docker

ECS/EKS

Communication

Education

CS/IS/Data Eng

Bachelor’s or Master’s degree

Tools

BI/Analytics tools

Job description

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

Location: DGS India - Mumbai - Goregaon Prism Tower

Brand

Brand: Merkle

Contractual Details

Time Type: Full time Contract Type: Permanent

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