In All Media

2128 Data Engineer

In All Media  β€’  Pune, IN / Bengaluru, IN (Remote)  β€’  1 hour ago
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Job Description

Position: Data Engineer (Platform Modernization & Migration)

Location: Fully Remote (EMEA & APAC Preferred)

Contract Type: Full-time, Permanent

Time Zone Alignment: Requires overlap until at least 12:00 PM Pacific Time (PT)

🧭 About Inallmedia.com Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.

πŸš€ Project Overview You will join a core Data Engineering organization, working in close partnership with the Data Platform team to drive a major data platform modernization initiative. The primary focus of this project is executing pre-designed migration blueprints for approximately 1,000 datasets to Snowflake with Airflow 3 orchestration. You will play a crucial role in accelerating time-sensitive infrastructure goals by evolving legacy Lakehouse formats to Apache Iceberg, modernizing streaming infrastructure across cloud regions, and adapting existing pipelines to uphold strict data quality and performance standards.

πŸ” Key Responsibilities

  • Pipeline Migration & Upgrades: Execute the end-to-end migration of approximately 1,000 datasets to Snowflake, including upgrading orchestration workflows from Apache Airflow 2 to Airflow 3.
  • Storage & Data Lake Modernization: Migrate legacy Hive data structures and datasets to Apache Iceberg format using the Snowpark Connect framework/connectors.
  • Streaming Infrastructure & Region Migration: Reconfigure, update, and migrate Confluent/Apache Kafka streaming connections across cloud regions (e.g., migrating from US East 1 to US East 2).
  • Pipeline Adaptation & Performance Tuning: Adapt existing data pipelines to target Snowflake environments while optimizing SQL queries (utilizing CTEs, window functions, and complex joins) to ensure high performance and data reliability.
  • Workflow Scheduling & Monitoring: Manage, test, and debug DAGs (Directed Acyclic Graphs) and workflow scheduling within Apache Airflow.
  • Testing & Quality Assurance: Implement testing strategies and conduct hands-on code debugging to guarantee data quality and consistency throughout the platform modernization.

πŸ’‘ Must-Have Skills

  • Industry Experience: Minimum 2+ years of hands-on data engineering experience working with large-scale datasets, Apache Airflow, and Apache Spark.
  • Core Languages & SQL: Strong software engineering fundamentals with hands-on Python development experience and advanced SQL skills (complex joins, CTEs, window functions, and query tuning).
  • Data Warehousing & Modeling: Proven experience with Snowflake data modeling and schema architecture.
  • Data Processing & Orchestration: Direct experience building and testing pipelines using Apache Airflow, Apache Kafka, and Apache Spark / PySpark.
  • Data Formats & Cloud Storage: Expertise working with Apache Iceberg and Apache Parquet data formats, alongside AWS S3 (data lakes, bucket partitioning, and lifecycle policies).
  • Testing & Debugging: Ability to define testing strategies and independently debug complex distributed data pipelines.
  • Communication & Autonomy: Strong communication skills with a proven track record of working independently in a fast-paced environment.
  • AWS WorkSpace Requirement: This role requires the use of a client-provisioned AWS WorkSpace. Candidates must demonstrate good connectivity to an AWS WorkSpace region by completing the connectivity test at https://clients.amazonworkspaces.com/Health. Please note: You will be required to submit a screenshot of these results as supporting evidence with your application.

✨ Nice-to-Have Skills

  • Snowflake Migration: Experience with enterprise Snowflake migrations (warehouse modernization, cost and performance tuning).
  • Airflow Migration: Direct experience with Apache Airflow platform migrations (version upgrades, executor changes, or platform moves).
  • AI Tooling: Hands-on experience using AI-assisted coding/development tools to accelerate workflow velocity.

🌐 Time Zone & Collaboration The role is fully remote, with a strong preference for candidates located in the EMEA (Europe, Middle East, Africa) or APAC (Asia-Pacific) regions. Time zone coverage is required until at least 12:00 PM PT (Pacific Time) to ensure seamless overlap with the core engineering team.

πŸ’¬ Language All interviews, documentation, and daily communication will be in English.

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In All Media

About In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results.

Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Industry
Unknown
Company Size
51-200 employees
Headquarters
Austin, Texas
Year Founded
2015
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