Lead Data Engineer SQL AWS in Hyderabad, India

• Hybrid
• On-site

700k

... experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, ...

• Hybrid

... architects, analysts, developers, and business stakeholders to understand data requirements.- Ensure data quality, security, governance, and best practices across data engineering https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack:- Python, PySpark, SQL, AWS Glue, AWS Glue Data Catalog, AWS Lambda, Amazon S3, AWS Step Functions, ...

... in Python and SQL - Experience with Unity Catalog, cluster administration, and at least one major cloud platform (Azure, AWS, or GCP) - Solid understanding of data warehousing and dimensional modeling Databricks Certified Data Engineer (Associate or Professional) Cloud data engineering certification have minimum 5 years ...

... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...

Hello, We are hiring for 'Data Engineer with Java' for Pune Location. Exp :5+Years Loc : Pune Notice Period: Immediate joiners(notice period served or serving candidate) Mandatory Skills: Data Engineering Airflow Data Build Tool(DBT) Java ETL/ELT Pipeline CI/CD SQL NOTE: We are looking for Immediate joiners(notice period ...

• On-site

Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to ...

... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Data Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital ...

• Hybrid

... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...

Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...

... experience in Data Engineering.- Strong Python + SQL expertise.- Strong Data Architecture and System Design skills.- End-to-end production pipeline ownership.- Expert SQL including Window Functions, CTEs, CASE logic.- Strong experience with MySQL / PostgreSQL.- Experience designing Transaction / Fact Tables.- Strong data quality, ...

... with enterprises to design, build, and operate cloud-native, AI-first systems that generate measurable business outcomes. Searce is a Google Cloud Global MSP, AWS Advanced Consulting Partner, Databricks Partner, and Anthropic Claude Partner. As a Lead SRE within the CSRE Delivery team, you will anchor reliability, scalability, ...

... Prometheus, Grafana, ELK, Datadog Agile Tools: Jira, Confluence Additional Expectations The candidate should be a strong team player leading a team with an ownership mindset, capable of independently managing AWS environments, automation frameworks, deployments, and collaborating with global engineering/customer teams.

... frameworks, or extensible platform systems. Backend https://jobeax.com/link/JSd7UYCSg572jJDY, Python, Java, Ruby Frontend React, TypeScript, Ant Design System, Figma AWS, Kubernetes (EKS), S3 Data MySQL, Snowflake, Aerospike, DynamoDB, ScyllaDB AI Tooling CI/CD, TDD, Agile, You Build It You Run It AI-native engineering culture ...

• Full-time

... proven track record of building and operating large-scale, distributed, API-driven systems in production. Expertise in observability, alerting, and reliability engineering , using tools such as Prometheus, Grafana, Datadog, Splunk, ELK, or equivalent ecosystems. Strong command of cloud platforms and open systems ( AWS, Azure, ...

... Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations . The candidate should have strong SQL and database expertise, experience working ...

... operations at ELGi. Data Engineering & Architecture Design scalable, production-grade ETL/ELT pipelines across Azure, AWS, and GCP. Develop modular, reusable data engineering frameworks for ingestion, transformation, and orchestration. Build Spark, SQL, and Python workflows in Databricks. Optimize compute, storage, and ...

... least one certification • Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud ...

... maintain scalable data pipelines and distributed systems. The ideal candidate should have hands-on experience with ETL/ELT pipelines, workflow orchestration, AWS cloud services, data visualization, distributed architectures, and modern data engineering https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities:- Design, ...

... using Python and PySpark to ingest data from files, APIs, RDBMS, NoSQL, and message queues into AWS data stores Develop and optimize PySpark jobs for large-scale data processing, transformation, and aggregation on AWS EMR or Databricks Build and manage AWS-native data workflows using S3, Glue, Lambda, Redshift, and Step Functions; ...

• Remote
• Contract

... Senior Data Engineer with strong hands-on experience building and supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon AppFlow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data warehouse solutions, and integrations across different ...