Mactores
About this role
Mactores describes itself as an agent native AWS modernization firm, and is unusually direct about why it exists: most modernization work stalls in pilots or lands late and over budget. It uses an agent platform called Aedeon to absorb the repetitive parts of an engagement such as source discovery, schema mapping and lineage extraction, and leaves the judgment work to engineers. This role sits in its Data Platform Modernization pillar, migrating and consolidating customer data infrastructure on AWS. You own target architecture, data model decisions, pipeline design under real constraints and the calls that make a cutover safe. The stack is PySpark and SQL on EMR and Glue, modelling for Redshift, Snowflake, Athena and Presto, orchestrated with Airflow. The title says Senior, the requirements say 3 or more years, and the posting states the role is fully remote.
Who this is for
What the posting asks for: a Bachelor's degree in Computer Science, Engineering or a related field, 3 or more years working with PySpark and SQL, 2 or more years building and maintaining data pipelines on Amazon EMR or Amazon Glue, 2 or more years of data modelling and end user querying with Amazon Redshift or Snowflake plus Athena and Presto, and 1 or more years building and maintaining pipeline orchestration with Airflow. It also asks for strong problem solving and troubleshooting, excellent communication and collaboration, and the ability to work both independently and in a team.
Preferred, not required: an AWS Data Analytics Specialty certification and experience with Agile development.
The real day to day: building and maintaining production data pipelines on EMR or Glue, designing data models and end user querying on Redshift or Snowflake, Athena and Presto, building pipeline orchestration with Airflow, working with customer and internal teams to understand data needs and design solutions, troubleshooting and optimising pipelines and models until they hold under real load, writing and maintaining PySpark and SQL for extract, transform and load work, documenting and communicating technical decisions to both technical and non technical audiences since customers sign off on what ships, and tracking new AWS data technology to judge whether it belongs in the systems Mactores runs.
Location and setup: the listing is tagged Mumbai, Maharashtra, but the posting body states plainly that the role is fully remote. It also describes a forward deployed model where senior engineers embed with the customer's team and carry the delivery commitment personally against fixed dates, with Mactores absorbing overage cost for delays inside its control. Confirm the remote arrangement and any client site travel expectation with the recruiter, since embedded consulting and fully remote can pull in different directions.
Honest fit guidance: this is consulting delivery work, so you will be working against customer commitments and sign offs rather than an internal roadmap, and the posting is candid that the culture is measured by what ships. Note also that Mactores lists a separate freelancer variant of this same role, so check which one you are applying to. The 3 year floor against a Senior title makes this reachable earlier than the name suggests.
Preferred, not required: an AWS Data Analytics Specialty certification and experience with Agile development.
The real day to day: building and maintaining production data pipelines on EMR or Glue, designing data models and end user querying on Redshift or Snowflake, Athena and Presto, building pipeline orchestration with Airflow, working with customer and internal teams to understand data needs and design solutions, troubleshooting and optimising pipelines and models until they hold under real load, writing and maintaining PySpark and SQL for extract, transform and load work, documenting and communicating technical decisions to both technical and non technical audiences since customers sign off on what ships, and tracking new AWS data technology to judge whether it belongs in the systems Mactores runs.
Location and setup: the listing is tagged Mumbai, Maharashtra, but the posting body states plainly that the role is fully remote. It also describes a forward deployed model where senior engineers embed with the customer's team and carry the delivery commitment personally against fixed dates, with Mactores absorbing overage cost for delays inside its control. Confirm the remote arrangement and any client site travel expectation with the recruiter, since embedded consulting and fully remote can pull in different directions.
Honest fit guidance: this is consulting delivery work, so you will be working against customer commitments and sign offs rather than an internal roadmap, and the posting is candid that the culture is measured by what ships. Note also that Mactores lists a separate freelancer variant of this same role, so check which one you are applying to. The 3 year floor against a Senior title makes this reachable earlier than the name suggests.
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