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Open nowPosted 70 days ago

Sr. Data Engineer

Access Information Services58 open roles

Where
Chennai, IND-TN, IND
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Your applicationOpen nowSr. Data EngineerAccess Information Services · Chennai, IND-TN, IND

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Access Information Services's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Access Information Services postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 70 days ago

Access Information Services median: 1 days open

The posting

We are seeking skilled Senior Data Engineers to build, and maintain scalable platforms and pipelines that power analytics, reporting, and data products across the organization. You will develop robust ETL/ELT solutions, optimize data workflows, and enable trusted, high-quality data for business intelligence, advanced analytics, and data-driven decision-making. You will translate business requirements into robust database logic, automated data workflows, and insightful dashboards that enable data-driven decision-making across the organization. Depending on experience level, the role will contribute to solution design, development, optimization, and technical leadership within the data services team.

Roles and Responsibilities

  • Build, optimize, and manage data ingestion workflows from multiple structured and unstructured data sources.
  • Develop and optimize SQL queries, stored procedures, functions, and views for high-volume relational databases.
  • Design and maintain data models that support analytics, reporting, and data products.
  • Design, develop, and maintain scalable data pipelines using SQL, Python, and modern ETL/ELT frameworks.
  • Perform data profiling, cleansing, validation, and quality monitoring to ensure data accuracy, integrity, and consistency.
  • Optimize database and pipeline performance through indexing, partitioning, query tuning, and workload optimization.
  • Collaborate with Product Managers, and business stakeholders to understand business requirements and deliver analytics-ready data solutions.
  • Support the development and enhancement of data products by delivering reliable, scalable, and governed datasets.
  • Document data pipelines, data models, technical designs, and operational processes in accordance with data governance standards.
  • Implement best practices for data security, governance, metadata management, and compliance.
  • Contribute to automation, reusable frameworks, and continuous improvement initiatives.

Qualifications & Experience

  • Bachelor's degree in computer science, Information Technology, and Engineering.
  • 6 - 10 years of strong hands-on experience in SQL development, ETL, and BI/reporting.

Required Skills & Experience

  • Strong proficiency in SQL (T-SQL / PL-SQL) with advanced query writing and performance tuning.
  • Hands-on experience with ETL/ELT tools such as SSIS, Azure Data Factory, Fivetran, AWS Glue
  • Experience with Azure Data Services, such as: Azure Data Factory, Azure Synapse Azure Data Lake Storage (ADLS), Azure SQL Database, Microsoft Fabric.
  • Hands-on experience with AWS Data Services including AWS Lambda, S3, Athena, Lake Formation & DataZone.
  • Strong programming skills in Python for data engineering and automation.
  • Strong data analysis skills, including data exploration, profiling, validation, KPI development, and translating business requirements into actionable insights.
  • Solid understanding of data warehousing concepts, star/snowflake schemas, and dimensional modeling.
  • Experience supporting or developing data products and understanding the end-to-end data product lifecycle.

Preferred Skills:

  • Familiarity with version control (Git) and CI/CD for data pipelines.
  • Exposure to Power BI, Service administration, gateways, and workspace management.
  • Understanding of data privacy, retention, and governance frameworks.

Competencies:

  • Strong communication and stakeholder management skills.
  • Ability to work both independently and collaboratively in a hybrid.
  • Attention to detail and commitment to data accuracy.
  • Adaptability and eagerness to learn new tools and technologies.
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One press. We do the rest.

  1. A CV for this posting

    Written against Access Information Services's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Access Information Services's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Access Information Services's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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